Supported scikit-learn Models¶

skl2onnx currently can convert the following list of models for skl2onnx . They were tested using onnxruntime . All the following classes overloads the following methods such as OnnxSklearnPipeline does. They wrap existing scikit-learn classes by dynamically creating a new one which inherits from OnnxOperatorMixin which implements to_onnx methods.

Covered Converters¶

Name	Package	Supported
ARDRegression	linear_model	Yes
AdaBoostClassifier	ensemble	Yes
AdaBoostRegressor	ensemble	Yes
AdditiveChi2Sampler	kernel_approximation
AffinityPropagation	cluster
AgglomerativeClustering	cluster
BaggingClassifier	ensemble	Yes
BaggingRegressor	ensemble	Yes
BaseDecisionTree	tree
BaseEnsemble	ensemble
BayesianGaussianMixture	mixture	Yes
BayesianRidge	linear_model	Yes
BernoulliNB	naive_bayes	Yes
BernoulliRBM	neural_network
Binarizer	preprocessing	Yes
Birch	cluster
BisectingKMeans	cluster
CCA	cross_decomposition
CalibratedClassifierCV	calibration	Yes
CategoricalNB	naive_bayes	Yes
ClassifierChain	multioutput
ComplementNB	naive_bayes	Yes
DBSCAN	cluster
DecisionTreeClassifier	tree	Yes
DecisionTreeRegressor	tree	Yes
DictVectorizer	feature_extraction	Yes
DictionaryLearning	decomposition
ElasticNet	linear_model	Yes
ElasticNetCV	linear_model	Yes
EllipticEnvelope	covariance
EmpiricalCovariance	covariance
ExtraTreeClassifier	tree	Yes
ExtraTreeRegressor	tree	Yes
ExtraTreesClassifier	ensemble	Yes
ExtraTreesRegressor	ensemble	Yes
FactorAnalysis	decomposition
FastICA	decomposition
FeatureAgglomeration	cluster
FeatureHasher	feature_extraction	Yes
FixedThresholdClassifier	model_selection
FunctionTransformer	preprocessing	Yes
GammaRegressor	linear_model	Yes
GaussianMixture	mixture	Yes
GaussianNB	naive_bayes	Yes
GaussianProcessClassifier	gaussian_process	Yes
GaussianProcessRegressor	gaussian_process	Yes
GaussianRandomProjection	random_projection	Yes
GenericUnivariateSelect	feature_selection	Yes
GradientBoostingClassifier	ensemble	Yes
GradientBoostingRegressor	ensemble	Yes
GraphicalLasso	covariance
GraphicalLassoCV	covariance
GridSearchCV	model_selection	Yes
HDBSCAN	cluster
HistGradientBoostingClassifier	ensemble	Yes
HistGradientBoostingRegressor	ensemble	Yes
HuberRegressor	linear_model	Yes
IncrementalPCA	decomposition	Yes
IsolationForest	ensemble	Yes
IsotonicRegression	isotonic
KBinsDiscretizer	preprocessing	Yes
KMeans	cluster	Yes
KNNImputer	impute	Yes
KNeighborsClassifier	neighbors	Yes
KNeighborsRegressor	neighbors	Yes
KNeighborsTransformer	neighbors	Yes
KernelCenterer	preprocessing	Yes
KernelDensity	neighbors
KernelPCA	decomposition	Yes
KernelRidge	kernel_ridge
LabelBinarizer	preprocessing	Yes
LabelEncoder	preprocessing	Yes
LabelPropagation	semi_supervised
LabelSpreading	semi_supervised
Lars	linear_model	Yes
LarsCV	linear_model	Yes
Lasso	linear_model	Yes
LassoCV	linear_model	Yes
LassoLars	linear_model	Yes
LassoLarsCV	linear_model	Yes
LassoLarsIC	linear_model	Yes
LatentDirichletAllocation	decomposition
LedoitWolf	covariance
LinearDiscriminantAnalysis	discriminant_analysis	Yes
LinearRegression	linear_model	Yes
LinearSVC	svm	Yes
LinearSVR	svm	Yes
LocalOutlierFactor	neighbors	Yes
LogisticRegression	linear_model	Yes
LogisticRegressionCV	linear_model	Yes
MLPClassifier	neural_network	Yes
MLPRegressor	neural_network	Yes
MaxAbsScaler	preprocessing	Yes
MeanShift	cluster
MinCovDet	covariance
MinMaxScaler	preprocessing	Yes
MiniBatchDictionaryLearning	decomposition
MiniBatchKMeans	cluster	Yes
MiniBatchNMF	decomposition
MiniBatchSparsePCA	decomposition
MissingIndicator	impute
MultiLabelBinarizer	preprocessing
MultiOutputClassifier	multioutput	Yes
MultiOutputRegressor	multioutput	Yes
MultiTaskElasticNet	linear_model	Yes
MultiTaskElasticNetCV	linear_model	Yes
MultiTaskLasso	linear_model	Yes
MultiTaskLassoCV	linear_model	Yes
MultinomialNB	naive_bayes	Yes
NMF	decomposition
NearestCentroid	neighbors
NearestNeighbors	neighbors	Yes
NeighborhoodComponentsAnalysis	neighbors	Yes
Normalizer	preprocessing	Yes
NuSVC	svm	Yes
NuSVR	svm	Yes
Nystroem	kernel_approximation
OAS	covariance
OPTICS	cluster
OneClassSVM	svm	Yes
OneHotEncoder	preprocessing	Yes
OneVsOneClassifier	multiclass	Yes
OneVsRestClassifier	multiclass	Yes
OrdinalEncoder	preprocessing	Yes
OrthogonalMatchingPursuit	linear_model	Yes
OrthogonalMatchingPursuitCV	linear_model	Yes
OutputCodeClassifier	multiclass
PCA	decomposition	Yes
PLSCanonical	cross_decomposition
PLSRegression	cross_decomposition	Yes
PLSSVD	cross_decomposition
PassiveAggressiveClassifier	linear_model	Yes
PassiveAggressiveRegressor	linear_model	Yes
Perceptron	linear_model	Yes
PoissonRegressor	linear_model	Yes
PolynomialCountSketch	kernel_approximation
PolynomialFeatures	preprocessing	Yes
PowerTransformer	preprocessing	Yes
QuadraticDiscriminantAnalysis	discriminant_analysis	Yes
QuantileRegressor	linear_model	Yes
QuantileTransformer	preprocessing
RANSACRegressor	linear_model	Yes
RBFSampler	kernel_approximation
RFE	feature_selection	Yes
RFECV	feature_selection	Yes
RadiusNeighborsClassifier	neighbors	Yes
RadiusNeighborsRegressor	neighbors	Yes
RadiusNeighborsTransformer	neighbors
RandomForestClassifier	ensemble	Yes
RandomForestRegressor	ensemble	Yes
RandomTreesEmbedding	ensemble	Yes
RandomizedSearchCV	model_selection
RegressorChain	multioutput
Ridge	linear_model	Yes
RidgeCV	linear_model	Yes
RidgeClassifier	linear_model	Yes
RidgeClassifierCV	linear_model	Yes
RobustScaler	preprocessing	Yes
SGDClassifier	linear_model	Yes
SGDOneClassSVM	linear_model	Yes
SGDRegressor	linear_model	Yes
SVC	svm	Yes
SVR	svm	Yes
SelectFdr	feature_selection	Yes
SelectFpr	feature_selection	Yes
SelectFromModel	feature_selection	Yes
SelectFwe	feature_selection	Yes
SelectKBest	feature_selection	Yes
SelectPercentile	feature_selection	Yes
SelfTrainingClassifier	semi_supervised
SequentialFeatureSelector	feature_selection
ShrunkCovariance	covariance
SimpleImputer	impute	Yes
SkewedChi2Sampler	kernel_approximation
SparseCoder	decomposition
SparsePCA	decomposition
SparseRandomProjection	random_projection
SpectralBiclustering	cluster
SpectralClustering	cluster
SpectralCoclustering	cluster
SplineTransformer	preprocessing
StackingClassifier	ensemble	Yes
StackingRegressor	ensemble	Yes
StandardScaler	preprocessing	Yes
TargetEncoder	preprocessing
TheilSenRegressor	linear_model	Yes
TransformedTargetRegressor	compose
TruncatedSVD	decomposition	Yes
TunedThresholdClassifierCV	model_selection	Yes
TweedieRegressor	linear_model	Yes
VarianceThreshold	feature_selection	Yes
VotingClassifier	ensemble	Yes
VotingRegressor	ensemble	Yes

scikit-learn’s version is 1.6.dev0. 131/193 models are covered.

Converters Documentation¶

OnnxCastRegressor	OnnxSklearnKNeighborsClassifier	OnnxSklearnPassiveAggressiveClassifier
OnnxCastTransformer	OnnxSklearnKNeighborsRegressor	OnnxSklearnPassiveAggressiveRegressor
OnnxReplaceTransformer	OnnxSklearnKNeighborsTransformer	OnnxSklearnPerceptron
OnnxSklearnARDRegression	OnnxSklearnKernelCenterer	OnnxSklearnPipeline
OnnxSklearnAdaBoostClassifier	OnnxSklearnKernelPCA	OnnxSklearnPoissonRegressor
OnnxSklearnAdaBoostRegressor	OnnxSklearnLabelBinarizer	OnnxSklearnPolynomialFeatures
OnnxSklearnBaggingClassifier	OnnxSklearnLabelEncoder	OnnxSklearnPowerTransformer
OnnxSklearnBaggingRegressor	OnnxSklearnLars	OnnxSklearnQuadraticDiscriminantAnalysis
OnnxSklearnBayesianGaussianMixture	OnnxSklearnLarsCV	OnnxSklearnQuantileRegressor
OnnxSklearnBayesianRidge	OnnxSklearnLasso	OnnxSklearnRANSACRegressor
OnnxSklearnBernoulliNB	OnnxSklearnLassoCV	OnnxSklearnRFE
OnnxSklearnBinarizer	OnnxSklearnLassoLars	OnnxSklearnRFECV
OnnxSklearnCalibratedClassifierCV	OnnxSklearnLassoLarsCV	OnnxSklearnRadiusNeighborsClassifier
OnnxSklearnCategoricalNB	OnnxSklearnLassoLarsIC	OnnxSklearnRadiusNeighborsRegressor
OnnxSklearnColumnTransformer	OnnxSklearnLinearDiscriminantAnalysis	OnnxSklearnRandomForestClassifier
OnnxSklearnComplementNB	OnnxSklearnLinearRegression	OnnxSklearnRandomForestRegressor
OnnxSklearnCountVectorizer	OnnxSklearnLinearSVC	OnnxSklearnRandomTreesEmbedding
OnnxSklearnDecisionTreeClassifier	OnnxSklearnLinearSVR	OnnxSklearnRidge
OnnxSklearnDecisionTreeRegressor	OnnxSklearnLocalOutlierFactor	OnnxSklearnRidgeCV
OnnxSklearnDictVectorizer	OnnxSklearnLogisticRegression	OnnxSklearnRidgeClassifier
OnnxSklearnElasticNet	OnnxSklearnLogisticRegressionCV	OnnxSklearnRidgeClassifierCV
OnnxSklearnElasticNetCV	OnnxSklearnMLPClassifier	OnnxSklearnRobustScaler
OnnxSklearnExtraTreeClassifier	OnnxSklearnMLPRegressor	OnnxSklearnSGDClassifier
OnnxSklearnExtraTreeRegressor	OnnxSklearnMaxAbsScaler	OnnxSklearnSGDOneClassSVM
OnnxSklearnExtraTreesClassifier	OnnxSklearnMinMaxScaler	OnnxSklearnSGDRegressor
OnnxSklearnExtraTreesRegressor	OnnxSklearnMiniBatchKMeans	OnnxSklearnSVC
OnnxSklearnFeatureHasher	OnnxSklearnMultiOutputClassifier	OnnxSklearnSVR
OnnxSklearnFeatureUnion	OnnxSklearnMultiOutputRegressor	OnnxSklearnSelectFdr
OnnxSklearnFunctionTransformer	OnnxSklearnMultiTaskElasticNet	OnnxSklearnSelectFpr
OnnxSklearnGammaRegressor	OnnxSklearnMultiTaskElasticNetCV	OnnxSklearnSelectFromModel
OnnxSklearnGaussianMixture	OnnxSklearnMultiTaskLasso	OnnxSklearnSelectFwe
OnnxSklearnGaussianNB	OnnxSklearnMultiTaskLassoCV	OnnxSklearnSelectKBest
OnnxSklearnGaussianProcessClassifier	OnnxSklearnMultinomialNB	OnnxSklearnSelectPercentile
OnnxSklearnGaussianProcessRegressor	OnnxSklearnNearestNeighbors	OnnxSklearnSimpleImputer
OnnxSklearnGaussianRandomProjection	OnnxSklearnNeighborhoodComponentsAnalysis	OnnxSklearnStackingClassifier
OnnxSklearnGenericUnivariateSelect	OnnxSklearnNormalizer	OnnxSklearnStackingRegressor
OnnxSklearnGradientBoostingClassifier	OnnxSklearnNuSVC	OnnxSklearnStandardScaler
OnnxSklearnGradientBoostingRegressor	OnnxSklearnNuSVR	OnnxSklearnTfidfTransformer
OnnxSklearnGridSearchCV	OnnxSklearnOneClassSVM	OnnxSklearnTfidfVectorizer
OnnxSklearnHistGradientBoostingClassifier	OnnxSklearnOneHotEncoder	OnnxSklearnTheilSenRegressor
OnnxSklearnHistGradientBoostingRegressor	OnnxSklearnOneVsOneClassifier	OnnxSklearnTruncatedSVD
OnnxSklearnHuberRegressor	OnnxSklearnOneVsRestClassifier	OnnxSklearnTunedThresholdClassifierCV
OnnxSklearnIncrementalPCA	OnnxSklearnOrdinalEncoder	OnnxSklearnTweedieRegressor
OnnxSklearnIsolationForest	OnnxSklearnOrthogonalMatchingPursuit	OnnxSklearnVarianceThreshold
OnnxSklearnKBinsDiscretizer	OnnxSklearnOrthogonalMatchingPursuitCV	OnnxSklearnVotingClassifier
OnnxSklearnKMeans	OnnxSklearnPCA	OnnxSklearnVotingRegressor
OnnxSklearnKNNImputer	OnnxSklearnPLSRegression	OnnxSklearn_ConstantPredictor

OnnxCastRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxCastRegressor(estimator, *, dtype=<class 'numpy.float32'>)¶: OnnxOperatorMixin for CastRegressor

OnnxCastTransformer¶

class skl2onnx.algebra.sklearn_ops.OnnxCastTransformer(*, dtype=<class 'numpy.float32'>)¶: OnnxOperatorMixin for CastTransformer

OnnxReplaceTransformer¶

class skl2onnx.algebra.sklearn_ops.OnnxReplaceTransformer(*, from_value=0, to_value=nan, dtype=<class 'numpy.float32'>)¶: OnnxOperatorMixin for ReplaceTransformer

OnnxSklearnARDRegression¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnARDRegression(*, max_iter=300, tol=0.001, alpha_1=1e-06, alpha_2=1e-06, lambda_1=1e-06, lambda_2=1e-06, compute_score=False, threshold_lambda=10000.0, fit_intercept=True, copy_X=True, verbose=False)¶: OnnxOperatorMixin for ARDRegression

OnnxSklearnAdaBoostClassifier¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnAdaBoostClassifier(estimator=None, *, n_estimators=50, learning_rate=1.0, algorithm='SAMME.R', random_state=None)¶: OnnxOperatorMixin for AdaBoostClassifier

OnnxSklearnAdaBoostRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnAdaBoostRegressor(estimator=None, *, n_estimators=50, learning_rate=1.0, loss='linear', random_state=None)¶: OnnxOperatorMixin for AdaBoostRegressor

OnnxSklearnBaggingClassifier¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnBaggingClassifier(estimator=None, n_estimators=10, *, max_samples=1.0, max_features=1.0, bootstrap=True, bootstrap_features=False, oob_score=False, warm_start=False, n_jobs=None, random_state=None, verbose=0)¶: OnnxOperatorMixin for BaggingClassifier

OnnxSklearnBaggingRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnBaggingRegressor(estimator=None, n_estimators=10, *, max_samples=1.0, max_features=1.0, bootstrap=True, bootstrap_features=False, oob_score=False, warm_start=False, n_jobs=None, random_state=None, verbose=0)¶: OnnxOperatorMixin for BaggingRegressor

OnnxSklearnBayesianGaussianMixture¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnBayesianGaussianMixture(*, n_components=1, covariance_type='full', tol=0.001, reg_covar=1e-06, max_iter=100, n_init=1, init_params='kmeans', weight_concentration_prior_type='dirichlet_process', weight_concentration_prior=None, mean_precision_prior=None, mean_prior=None, degrees_of_freedom_prior=None, covariance_prior=None, random_state=None, warm_start=False, verbose=0, verbose_interval=10)¶: OnnxOperatorMixin for BayesianGaussianMixture

OnnxSklearnBayesianRidge¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnBayesianRidge(*, max_iter=300, tol=0.001, alpha_1=1e-06, alpha_2=1e-06, lambda_1=1e-06, lambda_2=1e-06, alpha_init=None, lambda_init=None, compute_score=False, fit_intercept=True, copy_X=True, verbose=False)¶: OnnxOperatorMixin for BayesianRidge

OnnxSklearnBernoulliNB¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnBernoulliNB(*, alpha=1.0, force_alpha=True, binarize=0.0, fit_prior=True, class_prior=None)¶: OnnxOperatorMixin for BernoulliNB

OnnxSklearnBinarizer¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnBinarizer(*, threshold=0.0, copy=True)¶: OnnxOperatorMixin for Binarizer

OnnxSklearnCalibratedClassifierCV¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnCalibratedClassifierCV(estimator=None, *, method='sigmoid', cv=None, n_jobs=None, ensemble=True)¶: OnnxOperatorMixin for CalibratedClassifierCV

OnnxSklearnCategoricalNB¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnCategoricalNB(*, alpha=1.0, force_alpha=True, fit_prior=True, class_prior=None, min_categories=None)¶: OnnxOperatorMixin for CategoricalNB

OnnxSklearnComplementNB¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnComplementNB(*, alpha=1.0, force_alpha=True, fit_prior=True, class_prior=None, norm=False)¶: OnnxOperatorMixin for ComplementNB

OnnxSklearnCountVectorizer¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnCountVectorizer(*, input='content', encoding='utf-8', decode_error='strict', strip_accents=None, lowercase=True, preprocessor=None, tokenizer=None, stop_words=None, token_pattern='(?u)\\b\\w\\w+\\b', ngram_range=(1, 1), analyzer='word', max_df=1.0, min_df=1, max_features=None, vocabulary=None, binary=False, dtype=<class 'numpy.int64'>)¶: OnnxOperatorMixin for CountVectorizer

OnnxSklearnDecisionTreeClassifier¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnDecisionTreeClassifier(*, criterion='gini', splitter='best', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features=None, random_state=None, max_leaf_nodes=None, min_impurity_decrease=0.0, class_weight=None, ccp_alpha=0.0, monotonic_cst=None)¶: OnnxOperatorMixin for DecisionTreeClassifier

OnnxSklearnDecisionTreeRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnDecisionTreeRegressor(*, criterion='squared_error', splitter='best', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features=None, random_state=None, max_leaf_nodes=None, min_impurity_decrease=0.0, ccp_alpha=0.0, monotonic_cst=None)¶: OnnxOperatorMixin for DecisionTreeRegressor

OnnxSklearnDictVectorizer¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnDictVectorizer(*, dtype=<class 'numpy.float64'>, separator='=', sparse=True, sort=True)¶: OnnxOperatorMixin for DictVectorizer

OnnxSklearnElasticNet¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnElasticNet(alpha=1.0, *, l1_ratio=0.5, fit_intercept=True, precompute=False, max_iter=1000, copy_X=True, tol=0.0001, warm_start=False, positive=False, random_state=None, selection='cyclic')¶: OnnxOperatorMixin for ElasticNet

OnnxSklearnElasticNetCV¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnElasticNetCV(*, l1_ratio=0.5, eps=0.001, n_alphas=100, alphas=None, fit_intercept=True, precompute='auto', max_iter=1000, tol=0.0001, cv=None, copy_X=True, verbose=0, n_jobs=None, positive=False, random_state=None, selection='cyclic')¶: OnnxOperatorMixin for ElasticNetCV

OnnxSklearnExtraTreeClassifier¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnExtraTreeClassifier(*, criterion='gini', splitter='random', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features='sqrt', random_state=None, max_leaf_nodes=None, min_impurity_decrease=0.0, class_weight=None, ccp_alpha=0.0, monotonic_cst=None)¶: OnnxOperatorMixin for ExtraTreeClassifier

OnnxSklearnExtraTreeRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnExtraTreeRegressor(*, criterion='squared_error', splitter='random', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features=1.0, random_state=None, min_impurity_decrease=0.0, max_leaf_nodes=None, ccp_alpha=0.0, monotonic_cst=None)¶: OnnxOperatorMixin for ExtraTreeRegressor

OnnxSklearnExtraTreesClassifier¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnExtraTreesClassifier(n_estimators=100, *, criterion='gini', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features='sqrt', max_leaf_nodes=None, min_impurity_decrease=0.0, bootstrap=False, oob_score=False, n_jobs=None, random_state=None, verbose=0, warm_start=False, class_weight=None, ccp_alpha=0.0, max_samples=None, monotonic_cst=None)¶: OnnxOperatorMixin for ExtraTreesClassifier

OnnxSklearnExtraTreesRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnExtraTreesRegressor(n_estimators=100, *, criterion='squared_error', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features=1.0, max_leaf_nodes=None, min_impurity_decrease=0.0, bootstrap=False, oob_score=False, n_jobs=None, random_state=None, verbose=0, warm_start=False, ccp_alpha=0.0, max_samples=None, monotonic_cst=None)¶: OnnxOperatorMixin for ExtraTreesRegressor

OnnxSklearnFeatureHasher¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnFeatureHasher(n_features=1048576, *, input_type='dict', dtype=<class 'numpy.float64'>, alternate_sign=True)¶: OnnxOperatorMixin for FeatureHasher

OnnxSklearnFunctionTransformer¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnFunctionTransformer(func=None, inverse_func=None, *, validate=False, accept_sparse=False, check_inverse=True, feature_names_out=None, kw_args=None, inv_kw_args=None)¶: OnnxOperatorMixin for FunctionTransformer

OnnxSklearnGammaRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnGammaRegressor(*, alpha=1.0, fit_intercept=True, solver='lbfgs', max_iter=100, tol=0.0001, warm_start=False, verbose=0)¶: OnnxOperatorMixin for GammaRegressor

OnnxSklearnGaussianMixture¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnGaussianMixture(n_components=1, *, covariance_type='full', tol=0.001, reg_covar=1e-06, max_iter=100, n_init=1, init_params='kmeans', weights_init=None, means_init=None, precisions_init=None, random_state=None, warm_start=False, verbose=0, verbose_interval=10)¶: OnnxOperatorMixin for GaussianMixture

OnnxSklearnGaussianNB¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnGaussianNB(*, priors=None, var_smoothing=1e-09)¶: OnnxOperatorMixin for GaussianNB

OnnxSklearnGaussianProcessClassifier¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnGaussianProcessClassifier(kernel=None, *, optimizer='fmin_l_bfgs_b', n_restarts_optimizer=0, max_iter_predict=100, warm_start=False, copy_X_train=True, random_state=None, multi_class='one_vs_rest', n_jobs=None)¶: OnnxOperatorMixin for GaussianProcessClassifier

OnnxSklearnGaussianProcessRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnGaussianProcessRegressor(kernel=None, *, alpha=1e-10, optimizer='fmin_l_bfgs_b', n_restarts_optimizer=0, normalize_y=False, copy_X_train=True, n_targets=None, random_state=None)¶: OnnxOperatorMixin for GaussianProcessRegressor

OnnxSklearnGaussianRandomProjection¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnGaussianRandomProjection(n_components='auto', *, eps=0.1, compute_inverse_components=False, random_state=None)¶: OnnxOperatorMixin for GaussianRandomProjection

OnnxSklearnGenericUnivariateSelect¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnGenericUnivariateSelect(score_func=<function f_classif>, *, mode='percentile', param=1e-05)¶: OnnxOperatorMixin for GenericUnivariateSelect

OnnxSklearnGradientBoostingClassifier¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnGradientBoostingClassifier(*, loss='log_loss', learning_rate=0.1, n_estimators=100, subsample=1.0, criterion='friedman_mse', min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_depth=3, min_impurity_decrease=0.0, init=None, random_state=None, max_features=None, verbose=0, max_leaf_nodes=None, warm_start=False, validation_fraction=0.1, n_iter_no_change=None, tol=0.0001, ccp_alpha=0.0)¶: OnnxOperatorMixin for GradientBoostingClassifier

OnnxSklearnGradientBoostingRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnGradientBoostingRegressor(*, loss='squared_error', learning_rate=0.1, n_estimators=100, subsample=1.0, criterion='friedman_mse', min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_depth=3, min_impurity_decrease=0.0, init=None, random_state=None, max_features=None, alpha=0.9, verbose=0, max_leaf_nodes=None, warm_start=False, validation_fraction=0.1, n_iter_no_change=None, tol=0.0001, ccp_alpha=0.0)¶: OnnxOperatorMixin for GradientBoostingRegressor

OnnxSklearnGridSearchCV¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnGridSearchCV(estimator, param_grid, *, scoring=None, n_jobs=None, refit=True, cv=None, verbose=0, pre_dispatch='2*n_jobs', error_score=nan, return_train_score=False)¶: OnnxOperatorMixin for GridSearchCV

OnnxSklearnHistGradientBoostingClassifier¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnHistGradientBoostingClassifier(loss='log_loss', *, learning_rate=0.1, max_iter=100, max_leaf_nodes=31, max_depth=None, min_samples_leaf=20, l2_regularization=0.0, max_features=1.0, max_bins=255, categorical_features='warn', monotonic_cst=None, interaction_cst=None, warm_start=False, early_stopping='auto', scoring='loss', validation_fraction=0.1, n_iter_no_change=10, tol=1e-07, verbose=0, random_state=None, class_weight=None)¶: OnnxOperatorMixin for HistGradientBoostingClassifier

OnnxSklearnHistGradientBoostingRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnHistGradientBoostingRegressor(loss='squared_error', *, quantile=None, learning_rate=0.1, max_iter=100, max_leaf_nodes=31, max_depth=None, min_samples_leaf=20, l2_regularization=0.0, max_features=1.0, max_bins=255, categorical_features='warn', monotonic_cst=None, interaction_cst=None, warm_start=False, early_stopping='auto', scoring='loss', validation_fraction=0.1, n_iter_no_change=10, tol=1e-07, verbose=0, random_state=None)¶: OnnxOperatorMixin for HistGradientBoostingRegressor

OnnxSklearnHuberRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnHuberRegressor(*, epsilon=1.35, max_iter=100, alpha=0.0001, warm_start=False, fit_intercept=True, tol=1e-05)¶: OnnxOperatorMixin for HuberRegressor

OnnxSklearnIncrementalPCA¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnIncrementalPCA(n_components=None, *, whiten=False, copy=True, batch_size=None)¶: OnnxOperatorMixin for IncrementalPCA

OnnxSklearnIsolationForest¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnIsolationForest(*, n_estimators=100, max_samples='auto', contamination='auto', max_features=1.0, bootstrap=False, n_jobs=None, random_state=None, verbose=0, warm_start=False)¶: OnnxOperatorMixin for IsolationForest

OnnxSklearnKBinsDiscretizer¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnKBinsDiscretizer(n_bins=5, *, encode='onehot', strategy='quantile', dtype=None, subsample=200000, random_state=None)¶: OnnxOperatorMixin for KBinsDiscretizer

OnnxSklearnKMeans¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnKMeans(n_clusters=8, *, init='k-means++', n_init='auto', max_iter=300, tol=0.0001, verbose=0, random_state=None, copy_x=True, algorithm='lloyd')¶: OnnxOperatorMixin for KMeans

OnnxSklearnKNNImputer¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnKNNImputer(*, missing_values=nan, n_neighbors=5, weights='uniform', metric='nan_euclidean', copy=True, add_indicator=False, keep_empty_features=False)¶: OnnxOperatorMixin for KNNImputer

OnnxSklearnKNeighborsClassifier¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnKNeighborsClassifier(n_neighbors=5, *, weights='uniform', algorithm='auto', leaf_size=30, p=2, metric='minkowski', metric_params=None, n_jobs=None)¶: OnnxOperatorMixin for KNeighborsClassifier

OnnxSklearnKNeighborsRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnKNeighborsRegressor(n_neighbors=5, *, weights='uniform', algorithm='auto', leaf_size=30, p=2, metric='minkowski', metric_params=None, n_jobs=None)¶: OnnxOperatorMixin for KNeighborsRegressor

OnnxSklearnKNeighborsTransformer¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnKNeighborsTransformer(*, mode='distance', n_neighbors=5, algorithm='auto', leaf_size=30, metric='minkowski', p=2, metric_params=None, n_jobs=None)¶: OnnxOperatorMixin for KNeighborsTransformer

OnnxSklearnKernelCenterer¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnKernelCenterer¶: OnnxOperatorMixin for KernelCenterer

OnnxSklearnKernelPCA¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnKernelPCA(n_components=None, *, kernel='linear', gamma=None, degree=3, coef0=1, kernel_params=None, alpha=1.0, fit_inverse_transform=False, eigen_solver='auto', tol=0, max_iter=None, iterated_power='auto', remove_zero_eig=False, random_state=None, copy_X=True, n_jobs=None)¶: OnnxOperatorMixin for KernelPCA

OnnxSklearnLabelBinarizer¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLabelBinarizer(*, neg_label=0, pos_label=1, sparse_output=False)¶: OnnxOperatorMixin for LabelBinarizer

OnnxSklearnLabelEncoder¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLabelEncoder¶: OnnxOperatorMixin for LabelEncoder

OnnxSklearnLars¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLars(*, fit_intercept=True, verbose=False, precompute='auto', n_nonzero_coefs=500, eps=2.220446049250313e-16, copy_X=True, fit_path=True, jitter=None, random_state=None)¶: OnnxOperatorMixin for Lars

OnnxSklearnLarsCV¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLarsCV(*, fit_intercept=True, verbose=False, max_iter=500, precompute='auto', cv=None, max_n_alphas=1000, n_jobs=None, eps=2.220446049250313e-16, copy_X=True)¶: OnnxOperatorMixin for LarsCV

OnnxSklearnLasso¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLasso(alpha=1.0, *, fit_intercept=True, precompute=False, copy_X=True, max_iter=1000, tol=0.0001, warm_start=False, positive=False, random_state=None, selection='cyclic')¶: OnnxOperatorMixin for Lasso

OnnxSklearnLassoCV¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLassoCV(*, eps=0.001, n_alphas=100, alphas=None, fit_intercept=True, precompute='auto', max_iter=1000, tol=0.0001, copy_X=True, cv=None, verbose=False, n_jobs=None, positive=False, random_state=None, selection='cyclic')¶: OnnxOperatorMixin for LassoCV

OnnxSklearnLassoLars¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLassoLars(alpha=1.0, *, fit_intercept=True, verbose=False, precompute='auto', max_iter=500, eps=2.220446049250313e-16, copy_X=True, fit_path=True, positive=False, jitter=None, random_state=None)¶: OnnxOperatorMixin for LassoLars

OnnxSklearnLassoLarsCV¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLassoLarsCV(*, fit_intercept=True, verbose=False, max_iter=500, precompute='auto', cv=None, max_n_alphas=1000, n_jobs=None, eps=2.220446049250313e-16, copy_X=True, positive=False)¶: OnnxOperatorMixin for LassoLarsCV

OnnxSklearnLassoLarsIC¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLassoLarsIC(criterion='aic', *, fit_intercept=True, verbose=False, precompute='auto', max_iter=500, eps=2.220446049250313e-16, copy_X=True, positive=False, noise_variance=None)¶: OnnxOperatorMixin for LassoLarsIC

OnnxSklearnLinearDiscriminantAnalysis¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLinearDiscriminantAnalysis(solver='svd', shrinkage=None, priors=None, n_components=None, store_covariance=False, tol=0.0001, covariance_estimator=None)¶: OnnxOperatorMixin for LinearDiscriminantAnalysis

OnnxSklearnLinearRegression¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLinearRegression(*, fit_intercept=True, copy_X=True, n_jobs=None, positive=False)¶: OnnxOperatorMixin for LinearRegression

OnnxSklearnLinearSVC¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLinearSVC(penalty='l2', loss='squared_hinge', *, dual='auto', tol=0.0001, C=1.0, multi_class='ovr', fit_intercept=True, intercept_scaling=1, class_weight=None, verbose=0, random_state=None, max_iter=1000)¶: OnnxOperatorMixin for LinearSVC

OnnxSklearnLinearSVR¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLinearSVR(*, epsilon=0.0, tol=0.0001, C=1.0, loss='epsilon_insensitive', fit_intercept=True, intercept_scaling=1.0, dual='auto', verbose=0, random_state=None, max_iter=1000)¶: OnnxOperatorMixin for LinearSVR

OnnxSklearnLocalOutlierFactor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLocalOutlierFactor(n_neighbors=20, *, algorithm='auto', leaf_size=30, metric='minkowski', p=2, metric_params=None, contamination='auto', novelty=False, n_jobs=None)¶: OnnxOperatorMixin for LocalOutlierFactor

OnnxSklearnLogisticRegression¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLogisticRegression(penalty='l2', *, dual=False, tol=0.0001, C=1.0, fit_intercept=True, intercept_scaling=1, class_weight=None, random_state=None, solver='lbfgs', max_iter=100, multi_class='deprecated', verbose=0, warm_start=False, n_jobs=None, l1_ratio=None)¶: OnnxOperatorMixin for LogisticRegression

OnnxSklearnLogisticRegressionCV¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnLogisticRegressionCV(*, Cs=10, fit_intercept=True, cv=None, dual=False, penalty='l2', scoring=None, solver='lbfgs', tol=0.0001, max_iter=100, class_weight=None, n_jobs=None, verbose=0, refit=True, intercept_scaling=1.0, multi_class='deprecated', random_state=None, l1_ratios=None)¶: OnnxOperatorMixin for LogisticRegressionCV

OnnxSklearnMLPClassifier¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMLPClassifier(hidden_layer_sizes=(100,), activation='relu', *, solver='adam', alpha=0.0001, batch_size='auto', learning_rate='constant', learning_rate_init=0.001, power_t=0.5, max_iter=200, shuffle=True, random_state=None, tol=0.0001, verbose=False, warm_start=False, momentum=0.9, nesterovs_momentum=True, early_stopping=False, validation_fraction=0.1, beta_1=0.9, beta_2=0.999, epsilon=1e-08, n_iter_no_change=10, max_fun=15000)¶: OnnxOperatorMixin for MLPClassifier

OnnxSklearnMLPRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMLPRegressor(hidden_layer_sizes=(100,), activation='relu', *, solver='adam', alpha=0.0001, batch_size='auto', learning_rate='constant', learning_rate_init=0.001, power_t=0.5, max_iter=200, shuffle=True, random_state=None, tol=0.0001, verbose=False, warm_start=False, momentum=0.9, nesterovs_momentum=True, early_stopping=False, validation_fraction=0.1, beta_1=0.9, beta_2=0.999, epsilon=1e-08, n_iter_no_change=10, max_fun=15000)¶: OnnxOperatorMixin for MLPRegressor

OnnxSklearnMaxAbsScaler¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMaxAbsScaler(*, copy=True)¶: OnnxOperatorMixin for MaxAbsScaler

OnnxSklearnMinMaxScaler¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMinMaxScaler(feature_range=(0, 1), *, copy=True, clip=False)¶: OnnxOperatorMixin for MinMaxScaler

OnnxSklearnMiniBatchKMeans¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMiniBatchKMeans(n_clusters=8, *, init='k-means++', max_iter=100, batch_size=1024, verbose=0, compute_labels=True, random_state=None, tol=0.0, max_no_improvement=10, init_size=None, n_init='auto', reassignment_ratio=0.01)¶: OnnxOperatorMixin for MiniBatchKMeans

OnnxSklearnMultiOutputClassifier¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMultiOutputClassifier(estimator, *, n_jobs=None)¶: OnnxOperatorMixin for MultiOutputClassifier

OnnxSklearnMultiOutputRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMultiOutputRegressor(estimator, *, n_jobs=None)¶: OnnxOperatorMixin for MultiOutputRegressor

OnnxSklearnMultiTaskElasticNet¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMultiTaskElasticNet(alpha=1.0, *, l1_ratio=0.5, fit_intercept=True, copy_X=True, max_iter=1000, tol=0.0001, warm_start=False, random_state=None, selection='cyclic')¶: OnnxOperatorMixin for MultiTaskElasticNet

OnnxSklearnMultiTaskElasticNetCV¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMultiTaskElasticNetCV(*, l1_ratio=0.5, eps=0.001, n_alphas=100, alphas=None, fit_intercept=True, max_iter=1000, tol=0.0001, cv=None, copy_X=True, verbose=0, n_jobs=None, random_state=None, selection='cyclic')¶: OnnxOperatorMixin for MultiTaskElasticNetCV

OnnxSklearnMultiTaskLasso¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMultiTaskLasso(alpha=1.0, *, fit_intercept=True, copy_X=True, max_iter=1000, tol=0.0001, warm_start=False, random_state=None, selection='cyclic')¶: OnnxOperatorMixin for MultiTaskLasso

OnnxSklearnMultiTaskLassoCV¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMultiTaskLassoCV(*, eps=0.001, n_alphas=100, alphas=None, fit_intercept=True, max_iter=1000, tol=0.0001, copy_X=True, cv=None, verbose=False, n_jobs=None, random_state=None, selection='cyclic')¶: OnnxOperatorMixin for MultiTaskLassoCV

OnnxSklearnMultinomialNB¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnMultinomialNB(*, alpha=1.0, force_alpha=True, fit_prior=True, class_prior=None)¶: OnnxOperatorMixin for MultinomialNB

OnnxSklearnNearestNeighbors¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnNearestNeighbors(*, n_neighbors=5, radius=1.0, algorithm='auto', leaf_size=30, metric='minkowski', p=2, metric_params=None, n_jobs=None)¶: OnnxOperatorMixin for NearestNeighbors

OnnxSklearnNeighborhoodComponentsAnalysis¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnNeighborhoodComponentsAnalysis(n_components=None, *, init='auto', warm_start=False, max_iter=50, tol=1e-05, callback=None, verbose=0, random_state=None)¶: OnnxOperatorMixin for NeighborhoodComponentsAnalysis

OnnxSklearnNormalizer¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnNormalizer(norm='l2', *, copy=True)¶: OnnxOperatorMixin for Normalizer

OnnxSklearnNuSVC¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnNuSVC(*, nu=0.5, kernel='rbf', degree=3, gamma='scale', coef0=0.0, shrinking=True, probability=False, tol=0.001, cache_size=200, class_weight=None, verbose=False, max_iter=-1, decision_function_shape='ovr', break_ties=False, random_state=None)¶: OnnxOperatorMixin for NuSVC

OnnxSklearnNuSVR¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnNuSVR(*, nu=0.5, C=1.0, kernel='rbf', degree=3, gamma='scale', coef0=0.0, shrinking=True, tol=0.001, cache_size=200, verbose=False, max_iter=-1)¶: OnnxOperatorMixin for NuSVR

OnnxSklearnOneClassSVM¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnOneClassSVM(*, kernel='rbf', degree=3, gamma='scale', coef0=0.0, tol=0.001, nu=0.5, shrinking=True, cache_size=200, verbose=False, max_iter=-1)¶: OnnxOperatorMixin for OneClassSVM

OnnxSklearnOneHotEncoder¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnOneHotEncoder(*, categories='auto', drop=None, sparse_output=True, dtype=<class 'numpy.float64'>, handle_unknown='error', min_frequency=None, max_categories=None, feature_name_combiner='concat')¶: OnnxOperatorMixin for OneHotEncoder

OnnxSklearnOneVsOneClassifier¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnOneVsOneClassifier(estimator, *, n_jobs=None)¶: OnnxOperatorMixin for OneVsOneClassifier

OnnxSklearnOneVsRestClassifier¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnOneVsRestClassifier(estimator, *, n_jobs=None, verbose=0)¶: OnnxOperatorMixin for OneVsRestClassifier

OnnxSklearnOrdinalEncoder¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnOrdinalEncoder(*, categories='auto', dtype=<class 'numpy.float64'>, handle_unknown='error', unknown_value=None, encoded_missing_value=nan, min_frequency=None, max_categories=None)¶: OnnxOperatorMixin for OrdinalEncoder

OnnxSklearnOrthogonalMatchingPursuit¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnOrthogonalMatchingPursuit(*, n_nonzero_coefs=None, tol=None, fit_intercept=True, precompute='auto')¶: OnnxOperatorMixin for OrthogonalMatchingPursuit

OnnxSklearnOrthogonalMatchingPursuitCV¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnOrthogonalMatchingPursuitCV(*, copy=True, fit_intercept=True, max_iter=None, cv=None, n_jobs=None, verbose=False)¶: OnnxOperatorMixin for OrthogonalMatchingPursuitCV

OnnxSklearnPCA¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnPCA(n_components=None, *, copy=True, whiten=False, svd_solver='auto', tol=0.0, iterated_power='auto', n_oversamples=10, power_iteration_normalizer='auto', random_state=None)¶: OnnxOperatorMixin for PCA

OnnxSklearnPLSRegression¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnPLSRegression(n_components=2, *, scale=True, max_iter=500, tol=1e-06, copy=True)¶: OnnxOperatorMixin for PLSRegression

OnnxSklearnPassiveAggressiveClassifier¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnPassiveAggressiveClassifier(*, C=1.0, fit_intercept=True, max_iter=1000, tol=0.001, early_stopping=False, validation_fraction=0.1, n_iter_no_change=5, shuffle=True, verbose=0, loss='hinge', n_jobs=None, random_state=None, warm_start=False, class_weight=None, average=False)¶: OnnxOperatorMixin for PassiveAggressiveClassifier

OnnxSklearnPassiveAggressiveRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnPassiveAggressiveRegressor(*, C=1.0, fit_intercept=True, max_iter=1000, tol=0.001, early_stopping=False, validation_fraction=0.1, n_iter_no_change=5, shuffle=True, verbose=0, loss='epsilon_insensitive', epsilon=0.1, random_state=None, warm_start=False, average=False)¶: OnnxOperatorMixin for PassiveAggressiveRegressor

OnnxSklearnPerceptron¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnPerceptron(*, penalty=None, alpha=0.0001, l1_ratio=0.15, fit_intercept=True, max_iter=1000, tol=0.001, shuffle=True, verbose=0, eta0=1.0, n_jobs=None, random_state=0, early_stopping=False, validation_fraction=0.1, n_iter_no_change=5, class_weight=None, warm_start=False)¶: OnnxOperatorMixin for Perceptron

OnnxSklearnPoissonRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnPoissonRegressor(*, alpha=1.0, fit_intercept=True, solver='lbfgs', max_iter=100, tol=0.0001, warm_start=False, verbose=0)¶: OnnxOperatorMixin for PoissonRegressor

OnnxSklearnPolynomialFeatures¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnPolynomialFeatures(degree=2, *, interaction_only=False, include_bias=True, order='C')¶: OnnxOperatorMixin for PolynomialFeatures

OnnxSklearnPowerTransformer¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnPowerTransformer(method='yeo-johnson', *, standardize=True, copy=True)¶: OnnxOperatorMixin for PowerTransformer

OnnxSklearnQuadraticDiscriminantAnalysis¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnQuadraticDiscriminantAnalysis(*, priors=None, reg_param=0.0, store_covariance=False, tol=0.0001)¶: OnnxOperatorMixin for QuadraticDiscriminantAnalysis

OnnxSklearnQuantileRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnQuantileRegressor(*, quantile=0.5, alpha=1.0, fit_intercept=True, solver='highs', solver_options=None)¶: OnnxOperatorMixin for QuantileRegressor

OnnxSklearnRANSACRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRANSACRegressor(estimator=None, *, min_samples=None, residual_threshold=None, is_data_valid=None, is_model_valid=None, max_trials=100, max_skips=inf, stop_n_inliers=inf, stop_score=inf, stop_probability=0.99, loss='absolute_error', random_state=None)¶: OnnxOperatorMixin for RANSACRegressor

OnnxSklearnRFE¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRFE(estimator, *, n_features_to_select=None, step=1, verbose=0, importance_getter='auto')¶: OnnxOperatorMixin for RFE

OnnxSklearnRFECV¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRFECV(estimator, *, step=1, min_features_to_select=1, cv=None, scoring=None, verbose=0, n_jobs=None, importance_getter='auto')¶: OnnxOperatorMixin for RFECV

OnnxSklearnRadiusNeighborsClassifier¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRadiusNeighborsClassifier(radius=1.0, *, weights='uniform', algorithm='auto', leaf_size=30, p=2, metric='minkowski', outlier_label=None, metric_params=None, n_jobs=None)¶: OnnxOperatorMixin for RadiusNeighborsClassifier

OnnxSklearnRadiusNeighborsRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRadiusNeighborsRegressor(radius=1.0, *, weights='uniform', algorithm='auto', leaf_size=30, p=2, metric='minkowski', metric_params=None, n_jobs=None)¶: OnnxOperatorMixin for RadiusNeighborsRegressor

OnnxSklearnRandomForestClassifier¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRandomForestClassifier(n_estimators=100, *, criterion='gini', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features='sqrt', max_leaf_nodes=None, min_impurity_decrease=0.0, bootstrap=True, oob_score=False, n_jobs=None, random_state=None, verbose=0, warm_start=False, class_weight=None, ccp_alpha=0.0, max_samples=None, monotonic_cst=None)¶: OnnxOperatorMixin for RandomForestClassifier

OnnxSklearnRandomForestRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRandomForestRegressor(n_estimators=100, *, criterion='squared_error', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features=1.0, max_leaf_nodes=None, min_impurity_decrease=0.0, bootstrap=True, oob_score=False, n_jobs=None, random_state=None, verbose=0, warm_start=False, ccp_alpha=0.0, max_samples=None, monotonic_cst=None)¶: OnnxOperatorMixin for RandomForestRegressor

OnnxSklearnRandomTreesEmbedding¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRandomTreesEmbedding(n_estimators=100, *, max_depth=5, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_leaf_nodes=None, min_impurity_decrease=0.0, sparse_output=True, n_jobs=None, random_state=None, verbose=0, warm_start=False)¶: OnnxOperatorMixin for RandomTreesEmbedding

OnnxSklearnRidge¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRidge(alpha=1.0, *, fit_intercept=True, copy_X=True, max_iter=None, tol=0.0001, solver='auto', positive=False, random_state=None)¶: OnnxOperatorMixin for Ridge

OnnxSklearnRidgeCV¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRidgeCV(alphas=(0.1, 1.0, 10.0), *, fit_intercept=True, scoring=None, cv=None, gcv_mode=None, store_cv_results=None, alpha_per_target=False, store_cv_values='deprecated')¶: OnnxOperatorMixin for RidgeCV

OnnxSklearnRidgeClassifier¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRidgeClassifier(alpha=1.0, *, fit_intercept=True, copy_X=True, max_iter=None, tol=0.0001, class_weight=None, solver='auto', positive=False, random_state=None)¶: OnnxOperatorMixin for RidgeClassifier

OnnxSklearnRidgeClassifierCV¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRidgeClassifierCV(alphas=(0.1, 1.0, 10.0), *, fit_intercept=True, scoring=None, cv=None, class_weight=None, store_cv_results=None, store_cv_values='deprecated')¶: OnnxOperatorMixin for RidgeClassifierCV

OnnxSklearnRobustScaler¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnRobustScaler(*, with_centering=True, with_scaling=True, quantile_range=(25.0, 75.0), copy=True, unit_variance=False)¶: OnnxOperatorMixin for RobustScaler

OnnxSklearnSGDClassifier¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSGDClassifier(loss='hinge', *, penalty='l2', alpha=0.0001, l1_ratio=0.15, fit_intercept=True, max_iter=1000, tol=0.001, shuffle=True, verbose=0, epsilon=0.1, n_jobs=None, random_state=None, learning_rate='optimal', eta0=0.0, power_t=0.5, early_stopping=False, validation_fraction=0.1, n_iter_no_change=5, class_weight=None, warm_start=False, average=False)¶: OnnxOperatorMixin for SGDClassifier

OnnxSklearnSGDOneClassSVM¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSGDOneClassSVM(nu=0.5, fit_intercept=True, max_iter=1000, tol=0.001, shuffle=True, verbose=0, random_state=None, learning_rate='optimal', eta0=0.0, power_t=0.5, warm_start=False, average=False)¶: OnnxOperatorMixin for SGDOneClassSVM

OnnxSklearnSGDRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSGDRegressor(loss='squared_error', *, penalty='l2', alpha=0.0001, l1_ratio=0.15, fit_intercept=True, max_iter=1000, tol=0.001, shuffle=True, verbose=0, epsilon=0.1, random_state=None, learning_rate='invscaling', eta0=0.01, power_t=0.25, early_stopping=False, validation_fraction=0.1, n_iter_no_change=5, warm_start=False, average=False)¶: OnnxOperatorMixin for SGDRegressor

OnnxSklearnSVC¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSVC(*, C=1.0, kernel='rbf', degree=3, gamma='scale', coef0=0.0, shrinking=True, probability=False, tol=0.001, cache_size=200, class_weight=None, verbose=False, max_iter=-1, decision_function_shape='ovr', break_ties=False, random_state=None)¶: OnnxOperatorMixin for SVC

OnnxSklearnSVR¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSVR(*, kernel='rbf', degree=3, gamma='scale', coef0=0.0, tol=0.001, C=1.0, epsilon=0.1, shrinking=True, cache_size=200, verbose=False, max_iter=-1)¶: OnnxOperatorMixin for SVR

OnnxSklearnSelectFdr¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSelectFdr(score_func=<function f_classif>, *, alpha=0.05)¶: OnnxOperatorMixin for SelectFdr

OnnxSklearnSelectFpr¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSelectFpr(score_func=<function f_classif>, *, alpha=0.05)¶: OnnxOperatorMixin for SelectFpr

OnnxSklearnSelectFromModel¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSelectFromModel(estimator, *, threshold=None, prefit=False, norm_order=1, max_features=None, importance_getter='auto')¶: OnnxOperatorMixin for SelectFromModel

OnnxSklearnSelectFwe¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSelectFwe(score_func=<function f_classif>, *, alpha=0.05)¶: OnnxOperatorMixin for SelectFwe

OnnxSklearnSelectKBest¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSelectKBest(score_func=<function f_classif>, *, k=10)¶: OnnxOperatorMixin for SelectKBest

OnnxSklearnSelectPercentile¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSelectPercentile(score_func=<function f_classif>, *, percentile=10)¶: OnnxOperatorMixin for SelectPercentile

OnnxSklearnSimpleImputer¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnSimpleImputer(*, missing_values=nan, strategy='mean', fill_value=None, copy=True, add_indicator=False, keep_empty_features=False)¶: OnnxOperatorMixin for SimpleImputer

OnnxSklearnStackingClassifier¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnStackingClassifier(estimators, final_estimator=None, *, cv=None, stack_method='auto', n_jobs=None, passthrough=False, verbose=0)¶: OnnxOperatorMixin for StackingClassifier

OnnxSklearnStackingRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnStackingRegressor(estimators, final_estimator=None, *, cv=None, n_jobs=None, passthrough=False, verbose=0)¶: OnnxOperatorMixin for StackingRegressor

OnnxSklearnStandardScaler¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnStandardScaler(*, copy=True, with_mean=True, with_std=True)¶: OnnxOperatorMixin for StandardScaler

OnnxSklearnTfidfTransformer¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnTfidfTransformer(*, norm='l2', use_idf=True, smooth_idf=True, sublinear_tf=False)¶: OnnxOperatorMixin for TfidfTransformer

OnnxSklearnTfidfVectorizer¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnTfidfVectorizer(*, input='content', encoding='utf-8', decode_error='strict', strip_accents=None, lowercase=True, preprocessor=None, tokenizer=None, analyzer='word', stop_words=None, token_pattern='(?u)\\b\\w\\w+\\b', ngram_range=(1, 1), max_df=1.0, min_df=1, max_features=None, vocabulary=None, binary=False, dtype=<class 'numpy.float64'>, norm='l2', use_idf=True, smooth_idf=True, sublinear_tf=False)¶: OnnxOperatorMixin for TfidfVectorizer

OnnxSklearnTheilSenRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnTheilSenRegressor(*, fit_intercept=True, copy_X=True, max_subpopulation=10000.0, n_subsamples=None, max_iter=300, tol=0.001, random_state=None, n_jobs=None, verbose=False)¶: OnnxOperatorMixin for TheilSenRegressor

OnnxSklearnTruncatedSVD¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnTruncatedSVD(n_components=2, *, algorithm='randomized', n_iter=5, n_oversamples=10, power_iteration_normalizer='auto', random_state=None, tol=0.0)¶: OnnxOperatorMixin for TruncatedSVD

OnnxSklearnTunedThresholdClassifierCV¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnTunedThresholdClassifierCV(estimator, *, scoring='balanced_accuracy', response_method='auto', thresholds=100, cv=None, refit=True, n_jobs=None, random_state=None, store_cv_results=False)¶: OnnxOperatorMixin for TunedThresholdClassifierCV

OnnxSklearnTweedieRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnTweedieRegressor(*, power=0.0, alpha=1.0, fit_intercept=True, link='auto', solver='lbfgs', max_iter=100, tol=0.0001, warm_start=False, verbose=0)¶: OnnxOperatorMixin for TweedieRegressor

OnnxSklearnVarianceThreshold¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnVarianceThreshold(threshold=0.0)¶: OnnxOperatorMixin for VarianceThreshold

OnnxSklearnVotingClassifier¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnVotingClassifier(estimators, *, voting='hard', weights=None, n_jobs=None, flatten_transform=True, verbose=False)¶: OnnxOperatorMixin for VotingClassifier

OnnxSklearnVotingRegressor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnVotingRegressor(estimators, *, weights=None, n_jobs=None, verbose=False)¶: OnnxOperatorMixin for VotingRegressor

OnnxSklearn_ConstantPredictor¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearn_ConstantPredictor¶: OnnxOperatorMixin for _ConstantPredictor

Pipeline¶

class skl2onnx.algebra.sklearn_ops.OnnxSklearnPipeline(steps, *, memory=None, verbose=False)[source]¶

OnnxOperatorMixin for Pipeline

onnx_converter()¶: Returns a converter for this model. If not overloaded, it fetches the converter mapped to the first scikit-learn parent it can find.

onnx_parser()¶: Returns a parser for this model. If not overloaded, it calls the converter to guess the number of outputs. If it still fails, it fetches the parser mapped to the first scikit-learn parent it can find.

onnx_shape_calculator()¶: Returns a shape calculator for this model. If not overloaded, it fetches the parser mapped to the first scikit-learn parent it can find.

to_onnx(X=None, name=None, options=None, white_op=None, black_op=None, final_types=None, target_opset=None, verbose=0)¶

Converts the model in ONNX format. It calls method _to_onnx which must be overloaded.

Parameters:

X – training data, at least one sample, it is used to guess the type of the input data.
name – name of the model, if None, it is replaced by the the class name.
options – specific options given to converters (see Converters with options)
white_op – white list of ONNX nodes allowed while converting a pipeline, if empty, all are allowed
black_op – black list of ONNX nodes allowed while converting a pipeline, if empty, none are blacklisted
final_types – a python list. Works the same way as initial_types but not mandatory, it is used to overwrites the type (if type is not None) and the name of every output.
target_opset – to overwrite self.op_version
verbose – displays information while converting

to_onnx_operator(inputs=None, outputs=None, target_opset=None, options=None)¶: This function must be overloaded.

class skl2onnx.algebra.sklearn_ops.OnnxSklearnColumnTransformer(transformers, *, remainder='drop', sparse_threshold=0.3, n_jobs=None, transformer_weights=None, verbose=False, verbose_feature_names_out=True, force_int_remainder_cols=True)[source]¶

OnnxOperatorMixin for ColumnTransformer

onnx_converter()¶: Returns a converter for this model. If not overloaded, it fetches the converter mapped to the first scikit-learn parent it can find.

onnx_parser()¶: Returns a parser for this model. If not overloaded, it calls the converter to guess the number of outputs. If it still fails, it fetches the parser mapped to the first scikit-learn parent it can find.

onnx_shape_calculator()¶: Returns a shape calculator for this model. If not overloaded, it fetches the parser mapped to the first scikit-learn parent it can find.

to_onnx(X=None, name=None, options=None, white_op=None, black_op=None, final_types=None, target_opset=None, verbose=0)¶

Converts the model in ONNX format. It calls method _to_onnx which must be overloaded.

Parameters:

X – training data, at least one sample, it is used to guess the type of the input data.
name – name of the model, if None, it is replaced by the the class name.
options – specific options given to converters (see Converters with options)
white_op – white list of ONNX nodes allowed while converting a pipeline, if empty, all are allowed
black_op – black list of ONNX nodes allowed while converting a pipeline, if empty, none are blacklisted
final_types – a python list. Works the same way as initial_types but not mandatory, it is used to overwrites the type (if type is not None) and the name of every output.
target_opset – to overwrite self.op_version
verbose – displays information while converting

to_onnx_operator(inputs=None, outputs=None, target_opset=None, options=None)¶: This function must be overloaded.

class skl2onnx.algebra.sklearn_ops.OnnxSklearnFeatureUnion(transformer_list, *, n_jobs=None, transformer_weights=None, verbose=False, verbose_feature_names_out=True)[source]¶

OnnxOperatorMixin for FeatureUnion

onnx_converter()¶: Returns a converter for this model. If not overloaded, it fetches the converter mapped to the first scikit-learn parent it can find.

onnx_parser()¶: Returns a parser for this model. If not overloaded, it calls the converter to guess the number of outputs. If it still fails, it fetches the parser mapped to the first scikit-learn parent it can find.

onnx_shape_calculator()¶: Returns a shape calculator for this model. If not overloaded, it fetches the parser mapped to the first scikit-learn parent it can find.

to_onnx(X=None, name=None, options=None, white_op=None, black_op=None, final_types=None, target_opset=None, verbose=0)¶

Converts the model in ONNX format. It calls method _to_onnx which must be overloaded.

Parameters:

X – training data, at least one sample, it is used to guess the type of the input data.
name – name of the model, if None, it is replaced by the the class name.
options – specific options given to converters (see Converters with options)
white_op – white list of ONNX nodes allowed while converting a pipeline, if empty, all are allowed
black_op – black list of ONNX nodes allowed while converting a pipeline, if empty, none are blacklisted
final_types – a python list. Works the same way as initial_types but not mandatory, it is used to overwrites the type (if type is not None) and the name of every output.
target_opset – to overwrite self.op_version
verbose – displays information while converting

to_onnx_operator(inputs=None, outputs=None, target_opset=None, options=None)¶: This function must be overloaded.

Available ONNX operators¶

skl2onnx maps every ONNX operators into a class easy to insert into a graph. These operators get dynamically added and the list depends on the installed ONNX package. The documentation for these operators can be found on github: ONNX Operators.md and ONNX-ML Operators. Associated to onnxruntime, the mapping makes it easier to easily check the output of the ONNX operators on any data as shown in example Play with ONNX operators.

OnnxAbs	OnnxGradient_1	OnnxReduceL1_11
OnnxAbs_1	OnnxGreater	OnnxReduceL1_13
OnnxAbs_13	OnnxGreaterOrEqual	OnnxReduceL1_18
OnnxAbs_6	OnnxGreaterOrEqual_12	OnnxReduceL2
OnnxAcos	OnnxGreaterOrEqual_16	OnnxReduceL2_1
OnnxAcos_22	OnnxGreater_1	OnnxReduceL2_11
OnnxAcos_7	OnnxGreater_13	OnnxReduceL2_13
OnnxAcosh	OnnxGreater_7	OnnxReduceL2_18
OnnxAcosh_22	OnnxGreater_9	OnnxReduceLogSum
OnnxAcosh_9	OnnxGridSample	OnnxReduceLogSumExp
OnnxAdagrad	OnnxGridSample_16	OnnxReduceLogSumExp_1
OnnxAdagrad_1	OnnxGridSample_20	OnnxReduceLogSumExp_11
OnnxAdam	OnnxGridSample_22	OnnxReduceLogSumExp_13
OnnxAdam_1	OnnxGroupNormalization	OnnxReduceLogSumExp_18
OnnxAdd	OnnxGroupNormalization_18	OnnxReduceLogSum_1
OnnxAdd_1	OnnxGroupNormalization_21	OnnxReduceLogSum_11
OnnxAdd_13	OnnxHammingWindow	OnnxReduceLogSum_13
OnnxAdd_14	OnnxHammingWindow_17	OnnxReduceLogSum_18
OnnxAdd_6	OnnxHannWindow	OnnxReduceMax
OnnxAdd_7	OnnxHannWindow_17	OnnxReduceMax_1
OnnxAffineGrid	OnnxHardSigmoid	OnnxReduceMax_11
OnnxAffineGrid_20	OnnxHardSigmoid_1	OnnxReduceMax_12
OnnxAnd	OnnxHardSigmoid_22	OnnxReduceMax_13
OnnxAnd_1	OnnxHardSigmoid_6	OnnxReduceMax_18
OnnxAnd_7	OnnxHardSwish	OnnxReduceMax_20
OnnxArgMax	OnnxHardSwish_14	OnnxReduceMean
OnnxArgMax_1	OnnxHardSwish_22	OnnxReduceMean_1
OnnxArgMax_11	OnnxHardmax	OnnxReduceMean_11
OnnxArgMax_12	OnnxHardmax_1	OnnxReduceMean_13
OnnxArgMax_13	OnnxHardmax_11	OnnxReduceMean_18
OnnxArgMin	OnnxHardmax_13	OnnxReduceMin
OnnxArgMin_1	OnnxIdentity	OnnxReduceMin_1
OnnxArgMin_11	OnnxIdentity_1	OnnxReduceMin_11
OnnxArgMin_12	OnnxIdentity_13	OnnxReduceMin_12
OnnxArgMin_13	OnnxIdentity_14	OnnxReduceMin_13
OnnxArrayFeatureExtractor	OnnxIdentity_16	OnnxReduceMin_18
OnnxArrayFeatureExtractor_1	OnnxIdentity_19	OnnxReduceMin_20
OnnxAsin	OnnxIdentity_21	OnnxReduceProd
OnnxAsin_22	OnnxIf	OnnxReduceProd_1
OnnxAsin_7	OnnxIf_1	OnnxReduceProd_11
OnnxAsinh	OnnxIf_11	OnnxReduceProd_13
OnnxAsinh_22	OnnxIf_13	OnnxReduceProd_18
OnnxAsinh_9	OnnxIf_16	OnnxReduceSum
OnnxAtan	OnnxIf_19	OnnxReduceSumSquare
OnnxAtan_22	OnnxIf_21	OnnxReduceSumSquare_1
OnnxAtan_7	OnnxImageDecoder	OnnxReduceSumSquare_11
OnnxAtanh	OnnxImageDecoder_20	OnnxReduceSumSquare_13
OnnxAtanh_22	OnnxImputer	OnnxReduceSumSquare_18
OnnxAtanh_9	OnnxImputer_1	OnnxReduceSum_1
OnnxAveragePool	OnnxInstanceNormalization	OnnxReduceSum_11
OnnxAveragePool_1	OnnxInstanceNormalization_1	OnnxReduceSum_13
OnnxAveragePool_10	OnnxInstanceNormalization_22	OnnxRegexFullMatch
OnnxAveragePool_11	OnnxInstanceNormalization_6	OnnxRegexFullMatch_20
OnnxAveragePool_19	OnnxIsInf	OnnxRelu
OnnxAveragePool_22	OnnxIsInf_10	OnnxRelu_1
OnnxAveragePool_7	OnnxIsInf_20	OnnxRelu_13
OnnxBatchNormalization	OnnxIsNaN	OnnxRelu_14
OnnxBatchNormalization_1	OnnxIsNaN_13	OnnxRelu_6
OnnxBatchNormalization_14	OnnxIsNaN_20	OnnxReshape
OnnxBatchNormalization_15	OnnxIsNaN_9	OnnxReshape_1
OnnxBatchNormalization_6	OnnxLRN	OnnxReshape_13
OnnxBatchNormalization_7	OnnxLRN_1	OnnxReshape_14
OnnxBatchNormalization_9	OnnxLRN_13	OnnxReshape_19
OnnxBernoulli	OnnxLSTM	OnnxReshape_21
OnnxBernoulli_15	OnnxLSTM_1	OnnxReshape_5
OnnxBernoulli_22	OnnxLSTM_14	OnnxResize
OnnxBinarizer	OnnxLSTM_22	OnnxResize_10
OnnxBinarizer_1	OnnxLSTM_7	OnnxResize_11
OnnxBitShift	OnnxLabelEncoder	OnnxResize_13
OnnxBitShift_11	OnnxLabelEncoder_1	OnnxResize_18
OnnxBitwiseAnd	OnnxLabelEncoder_2	OnnxResize_19
OnnxBitwiseAnd_18	OnnxLabelEncoder_4	OnnxReverseSequence
OnnxBitwiseNot	OnnxLayerNormalization	OnnxReverseSequence_10
OnnxBitwiseNot_18	OnnxLayerNormalization_17	OnnxRoiAlign
OnnxBitwiseOr	OnnxLeakyRelu	OnnxRoiAlign_10
OnnxBitwiseOr_18	OnnxLeakyRelu_1	OnnxRoiAlign_16
OnnxBitwiseXor	OnnxLeakyRelu_16	OnnxRoiAlign_22
OnnxBitwiseXor_18	OnnxLeakyRelu_6	OnnxRound
OnnxBlackmanWindow	OnnxLess	OnnxRound_11
OnnxBlackmanWindow_17	OnnxLessOrEqual	OnnxRound_22
OnnxCast	OnnxLessOrEqual_12	OnnxSTFT
OnnxCastLike	OnnxLessOrEqual_16	OnnxSTFT_17
OnnxCastLike_15	OnnxLess_1	OnnxSVMClassifier
OnnxCastLike_19	OnnxLess_13	OnnxSVMClassifier_1
OnnxCastLike_21	OnnxLess_7	OnnxSVMRegressor
OnnxCastMap	OnnxLess_9	OnnxSVMRegressor_1
OnnxCastMap_1	OnnxLinearClassifier	OnnxScaler
OnnxCast_1	OnnxLinearClassifier_1	OnnxScaler_1
OnnxCast_13	OnnxLinearRegressor	OnnxScan
OnnxCast_19	OnnxLinearRegressor_1	OnnxScan_11
OnnxCast_21	OnnxLog	OnnxScan_16
OnnxCast_6	OnnxLogSoftmax	OnnxScan_19
OnnxCast_9	OnnxLogSoftmax_1	OnnxScan_21
OnnxCategoryMapper	OnnxLogSoftmax_11	OnnxScan_8
OnnxCategoryMapper_1	OnnxLogSoftmax_13	OnnxScan_9
OnnxCeil	OnnxLog_1	OnnxScatter
OnnxCeil_1	OnnxLog_13	OnnxScatterElements
OnnxCeil_13	OnnxLog_6	OnnxScatterElements_11
OnnxCeil_6	OnnxLoop	OnnxScatterElements_13
OnnxCelu	OnnxLoop_1	OnnxScatterElements_16
OnnxCelu_12	OnnxLoop_11	OnnxScatterElements_18
OnnxCenterCropPad	OnnxLoop_13	OnnxScatterND
OnnxCenterCropPad_18	OnnxLoop_16	OnnxScatterND_11
OnnxClip	OnnxLoop_19	OnnxScatterND_13
OnnxClip_1	OnnxLoop_21	OnnxScatterND_16
OnnxClip_11	OnnxLpNormalization	OnnxScatterND_18
OnnxClip_12	OnnxLpNormalization_1	OnnxScatter_11
OnnxClip_13	OnnxLpNormalization_22	OnnxScatter_9
OnnxClip_6	OnnxLpPool	OnnxSelu
OnnxCol2Im	OnnxLpPool_1	OnnxSelu_1
OnnxCol2Im_18	OnnxLpPool_11	OnnxSelu_22
OnnxCompress	OnnxLpPool_18	OnnxSelu_6
OnnxCompress_11	OnnxLpPool_2	OnnxSequenceAt
OnnxCompress_9	OnnxLpPool_22	OnnxSequenceAt_11
OnnxConcat	OnnxMatMul	OnnxSequenceConstruct
OnnxConcatFromSequence	OnnxMatMulInteger	OnnxSequenceConstruct_11
OnnxConcatFromSequence_11	OnnxMatMulInteger_10	OnnxSequenceEmpty
OnnxConcat_1	OnnxMatMul_1	OnnxSequenceEmpty_11
OnnxConcat_11	OnnxMatMul_13	OnnxSequenceErase
OnnxConcat_13	OnnxMatMul_9	OnnxSequenceErase_11
OnnxConcat_4	OnnxMax	OnnxSequenceInsert
OnnxConstant	OnnxMaxPool	OnnxSequenceInsert_11
OnnxConstantOfShape	OnnxMaxPool_1	OnnxSequenceLength
OnnxConstantOfShape_20	OnnxMaxPool_10	OnnxSequenceLength_11
OnnxConstantOfShape_21	OnnxMaxPool_11	OnnxSequenceMap
OnnxConstantOfShape_9	OnnxMaxPool_12	OnnxSequenceMap_17
OnnxConstant_1	OnnxMaxPool_22	OnnxShape
OnnxConstant_11	OnnxMaxPool_8	OnnxShape_1
OnnxConstant_12	OnnxMaxRoiPool	OnnxShape_13
OnnxConstant_13	OnnxMaxRoiPool_1	OnnxShape_15
OnnxConstant_19	OnnxMaxRoiPool_22	OnnxShape_19
OnnxConstant_21	OnnxMaxUnpool	OnnxShape_21
OnnxConstant_9	OnnxMaxUnpool_11	OnnxShrink
OnnxConv	OnnxMaxUnpool_22	OnnxShrink_9
OnnxConvInteger	OnnxMaxUnpool_9	OnnxSigmoid
OnnxConvInteger_10	OnnxMax_1	OnnxSigmoid_1
OnnxConvTranspose	OnnxMax_12	OnnxSigmoid_13
OnnxConvTranspose_1	OnnxMax_13	OnnxSigmoid_6
OnnxConvTranspose_11	OnnxMax_6	OnnxSign
OnnxConvTranspose_22	OnnxMax_8	OnnxSign_13
OnnxConv_1	OnnxMean	OnnxSign_9
OnnxConv_11	OnnxMeanVarianceNormalization	OnnxSin
OnnxConv_22	OnnxMeanVarianceNormalization_13	OnnxSin_22
OnnxCos	OnnxMeanVarianceNormalization_9	OnnxSin_7
OnnxCos_22	OnnxMean_1	OnnxSinh
OnnxCos_7	OnnxMean_13	OnnxSinh_22
OnnxCosh	OnnxMean_6	OnnxSinh_9
OnnxCosh_22	OnnxMean_8	OnnxSize
OnnxCosh_9	OnnxMelWeightMatrix	OnnxSize_1
OnnxCumSum	OnnxMelWeightMatrix_17	OnnxSize_13
OnnxCumSum_11	OnnxMin	OnnxSize_19
OnnxCumSum_14	OnnxMin_1	OnnxSize_21
OnnxDFT	OnnxMin_12	OnnxSlice
OnnxDFT_17	OnnxMin_13	OnnxSlice_1
OnnxDFT_20	OnnxMin_6	OnnxSlice_10
OnnxDeformConv	OnnxMin_8	OnnxSlice_11
OnnxDeformConv_19	OnnxMish	OnnxSlice_13
OnnxDeformConv_22	OnnxMish_18	OnnxSoftmax
OnnxDepthToSpace	OnnxMish_22	OnnxSoftmaxCrossEntropyLoss
OnnxDepthToSpace_1	OnnxMod	OnnxSoftmaxCrossEntropyLoss_12
OnnxDepthToSpace_11	OnnxMod_10	OnnxSoftmaxCrossEntropyLoss_13
OnnxDepthToSpace_13	OnnxMod_13	OnnxSoftmax_1
OnnxDequantizeLinear	OnnxMomentum	OnnxSoftmax_11
OnnxDequantizeLinear_10	OnnxMomentum_1	OnnxSoftmax_13
OnnxDequantizeLinear_13	OnnxMul	OnnxSoftplus
OnnxDequantizeLinear_19	OnnxMul_1	OnnxSoftplus_1
OnnxDequantizeLinear_21	OnnxMul_13	OnnxSoftplus_22
OnnxDet	OnnxMul_14	OnnxSoftsign
OnnxDet_11	OnnxMul_6	OnnxSoftsign_1
OnnxDet_22	OnnxMul_7	OnnxSoftsign_22
OnnxDictVectorizer	OnnxMultinomial	OnnxSpaceToDepth
OnnxDictVectorizer_1	OnnxMultinomial_22	OnnxSpaceToDepth_1
OnnxDiv	OnnxMultinomial_7	OnnxSpaceToDepth_13
OnnxDiv_1	OnnxNeg	OnnxSplit
OnnxDiv_13	OnnxNeg_1	OnnxSplitToSequence
OnnxDiv_14	OnnxNeg_13	OnnxSplitToSequence_11
OnnxDiv_6	OnnxNeg_6	OnnxSplit_1
OnnxDiv_7	OnnxNegativeLogLikelihoodLoss	OnnxSplit_11
OnnxDropout	OnnxNegativeLogLikelihoodLoss_12	OnnxSplit_13
OnnxDropout_1	OnnxNegativeLogLikelihoodLoss_13	OnnxSplit_18
OnnxDropout_10	OnnxNegativeLogLikelihoodLoss_22	OnnxSplit_2
OnnxDropout_12	OnnxNonMaxSuppression	OnnxSqrt
OnnxDropout_13	OnnxNonMaxSuppression_10	OnnxSqrt_1
OnnxDropout_22	OnnxNonMaxSuppression_11	OnnxSqrt_13
OnnxDropout_6	OnnxNonZero	OnnxSqrt_6
OnnxDropout_7	OnnxNonZero_13	OnnxSqueeze
OnnxDynamicQuantizeLinear	OnnxNonZero_9	OnnxSqueeze_1
OnnxDynamicQuantizeLinear_11	OnnxNormalizer	OnnxSqueeze_11
OnnxEinsum	OnnxNormalizer_1	OnnxSqueeze_13
OnnxEinsum_12	OnnxNot	OnnxSqueeze_21
OnnxElu	OnnxNot_1	OnnxStringConcat
OnnxElu_1	OnnxOneHot	OnnxStringConcat_20
OnnxElu_22	OnnxOneHotEncoder	OnnxStringNormalizer
OnnxElu_6	OnnxOneHotEncoder_1	OnnxStringNormalizer_10
OnnxEqual	OnnxOneHot_11	OnnxStringSplit
OnnxEqual_1	OnnxOneHot_9	OnnxStringSplit_20
OnnxEqual_11	OnnxOptional	OnnxSub
OnnxEqual_13	OnnxOptionalGetElement	OnnxSub_1
OnnxEqual_19	OnnxOptionalGetElement_15	OnnxSub_13
OnnxEqual_7	OnnxOptionalGetElement_18	OnnxSub_14
OnnxErf	OnnxOptionalHasElement	OnnxSub_6
OnnxErf_13	OnnxOptionalHasElement_15	OnnxSub_7
OnnxErf_9	OnnxOptionalHasElement_18	OnnxSum
OnnxExp	OnnxOptional_15	OnnxSum_1
OnnxExp_1	OnnxOr	OnnxSum_13
OnnxExp_13	OnnxOr_1	OnnxSum_6
OnnxExp_6	OnnxOr_7	OnnxSum_8
OnnxExpand	OnnxPRelu	OnnxTan
OnnxExpand_13	OnnxPRelu_1	OnnxTan_22
OnnxExpand_8	OnnxPRelu_16	OnnxTan_7
OnnxEyeLike	OnnxPRelu_6	OnnxTanh
OnnxEyeLike_22	OnnxPRelu_7	OnnxTanh_1
OnnxEyeLike_9	OnnxPRelu_9	OnnxTanh_13
OnnxFeatureVectorizer	OnnxPad	OnnxTanh_6
OnnxFeatureVectorizer_1	OnnxPad_1	OnnxTfIdfVectorizer
OnnxFlatten	OnnxPad_11	OnnxTfIdfVectorizer_9
OnnxFlatten_1	OnnxPad_13	OnnxThresholdedRelu
OnnxFlatten_11	OnnxPad_18	OnnxThresholdedRelu_10
OnnxFlatten_13	OnnxPad_19	OnnxThresholdedRelu_22
OnnxFlatten_21	OnnxPad_2	OnnxTile
OnnxFlatten_9	OnnxPad_21	OnnxTile_1
OnnxFloor	OnnxPow	OnnxTile_13
OnnxFloor_1	OnnxPow_1	OnnxTile_6
OnnxFloor_13	OnnxPow_12	OnnxTopK
OnnxFloor_6	OnnxPow_13	OnnxTopK_1
OnnxGRU	OnnxPow_15	OnnxTopK_10
OnnxGRU_1	OnnxPow_7	OnnxTopK_11
OnnxGRU_14	OnnxQLinearConv	OnnxTranspose
OnnxGRU_22	OnnxQLinearConv_10	OnnxTranspose_1
OnnxGRU_3	OnnxQLinearMatMul	OnnxTranspose_13
OnnxGRU_7	OnnxQLinearMatMul_10	OnnxTranspose_21
OnnxGather	OnnxQLinearMatMul_21	OnnxTreeEnsemble
OnnxGatherElements	OnnxQuantizeLinear	OnnxTreeEnsembleClassifier
OnnxGatherElements_11	OnnxQuantizeLinear_10	OnnxTreeEnsembleClassifier_1
OnnxGatherElements_13	OnnxQuantizeLinear_13	OnnxTreeEnsembleClassifier_3
OnnxGatherND	OnnxQuantizeLinear_19	OnnxTreeEnsembleClassifier_5
OnnxGatherND_11	OnnxQuantizeLinear_21	OnnxTreeEnsembleRegressor
OnnxGatherND_12	OnnxRNN	OnnxTreeEnsembleRegressor_1
OnnxGatherND_13	OnnxRNN_1	OnnxTreeEnsembleRegressor_3
OnnxGather_1	OnnxRNN_14	OnnxTreeEnsembleRegressor_5
OnnxGather_11	OnnxRNN_22	OnnxTreeEnsemble_5
OnnxGather_13	OnnxRNN_7	OnnxTrilu
OnnxGelu	OnnxRandomNormal	OnnxTrilu_14
OnnxGelu_20	OnnxRandomNormalLike	OnnxUnique
OnnxGemm	OnnxRandomNormalLike_1	OnnxUnique_11
OnnxGemm_1	OnnxRandomNormalLike_22	OnnxUnsqueeze
OnnxGemm_11	OnnxRandomNormal_1	OnnxUnsqueeze_1
OnnxGemm_13	OnnxRandomNormal_22	OnnxUnsqueeze_11
OnnxGemm_6	OnnxRandomUniform	OnnxUnsqueeze_13
OnnxGemm_7	OnnxRandomUniformLike	OnnxUnsqueeze_21
OnnxGemm_9	OnnxRandomUniformLike_1	OnnxUpsample
OnnxGlobalAveragePool	OnnxRandomUniformLike_22	OnnxUpsample_10
OnnxGlobalAveragePool_1	OnnxRandomUniform_1	OnnxUpsample_7
OnnxGlobalAveragePool_22	OnnxRandomUniform_22	OnnxUpsample_9
OnnxGlobalLpPool	OnnxRange	OnnxWhere
OnnxGlobalLpPool_1	OnnxRange_11	OnnxWhere_16
OnnxGlobalLpPool_2	OnnxReciprocal	OnnxWhere_9
OnnxGlobalLpPool_22	OnnxReciprocal_1	OnnxXor
OnnxGlobalMaxPool	OnnxReciprocal_13	OnnxXor_1
OnnxGlobalMaxPool_1	OnnxReciprocal_6	OnnxXor_7
OnnxGlobalMaxPool_22	OnnxReduceL1	OnnxZipMap
OnnxGradient	OnnxReduceL1_1	OnnxZipMap_1

OnnxAbs¶

class skl2onnx.algebra.onnx_ops.OnnxAbs(*args, **kwargs)¶: **Version**See Abs.

OnnxAbs_1¶

class skl2onnx.algebra.onnx_ops.OnnxAbs_1(*args, **kwargs)¶: **Version**See Abs_1.

OnnxAbs_13¶

class skl2onnx.algebra.onnx_ops.OnnxAbs_13(*args, **kwargs)¶: **Version**See Abs_13.

OnnxAbs_6¶

class skl2onnx.algebra.onnx_ops.OnnxAbs_6(*args, **kwargs)¶: **Version**See Abs_6.

OnnxAcos¶

class skl2onnx.algebra.onnx_ops.OnnxAcos(*args, **kwargs)¶: **Version**See Acos.

OnnxAcos_22¶

class skl2onnx.algebra.onnx_ops.OnnxAcos_22(*args, **kwargs)¶: **Version**See Acos_22.

OnnxAcos_7¶

class skl2onnx.algebra.onnx_ops.OnnxAcos_7(*args, **kwargs)¶: **Version**See Acos_7.

OnnxAcosh¶

class skl2onnx.algebra.onnx_ops.OnnxAcosh(*args, **kwargs)¶: **Version**See Acosh.

OnnxAcosh_22¶

class skl2onnx.algebra.onnx_ops.OnnxAcosh_22(*args, **kwargs)¶: **Version**See Acosh_22.

OnnxAcosh_9¶

class skl2onnx.algebra.onnx_ops.OnnxAcosh_9(*args, **kwargs)¶: **Version**See Acosh_9.

OnnxAdagrad¶

class skl2onnx.algebra.onnx_ops.OnnxAdagrad(*args, **kwargs)¶: **Version**See Adagrad.

OnnxAdagrad_1¶

class skl2onnx.algebra.onnx_ops.OnnxAdagrad_1(*args, **kwargs)¶: **Version**See Adagrad_1.

OnnxAdam¶

class skl2onnx.algebra.onnx_ops.OnnxAdam(*args, **kwargs)¶: **Version**See Adam.

OnnxAdam_1¶

class skl2onnx.algebra.onnx_ops.OnnxAdam_1(*args, **kwargs)¶: **Version**See Adam_1.

OnnxAdd¶

class skl2onnx.algebra.onnx_ops.OnnxAdd(*args, **kwargs)¶: **Version**See Add.

OnnxAdd_1¶

class skl2onnx.algebra.onnx_ops.OnnxAdd_1(*args, **kwargs)¶: **Version**See Add_1.

OnnxAdd_13¶

class skl2onnx.algebra.onnx_ops.OnnxAdd_13(*args, **kwargs)¶: **Version**See Add_13.

OnnxAdd_14¶

class skl2onnx.algebra.onnx_ops.OnnxAdd_14(*args, **kwargs)¶: **Version**See Add_14.

OnnxAdd_6¶

class skl2onnx.algebra.onnx_ops.OnnxAdd_6(*args, **kwargs)¶: **Version**See Add_6.

OnnxAdd_7¶

class skl2onnx.algebra.onnx_ops.OnnxAdd_7(*args, **kwargs)¶: **Version**See Add_7.

OnnxAffineGrid¶

class skl2onnx.algebra.onnx_ops.OnnxAffineGrid(*args, **kwargs)¶: **Version**See AffineGrid.

OnnxAffineGrid_20¶

class skl2onnx.algebra.onnx_ops.OnnxAffineGrid_20(*args, **kwargs)¶: **Version**See AffineGrid_20.

OnnxAnd¶

class skl2onnx.algebra.onnx_ops.OnnxAnd(*args, **kwargs)¶: **Version**See And.

OnnxAnd_1¶

class skl2onnx.algebra.onnx_ops.OnnxAnd_1(*args, **kwargs)¶: **Version**See And_1.

OnnxAnd_7¶

class skl2onnx.algebra.onnx_ops.OnnxAnd_7(*args, **kwargs)¶: **Version**See And_7.

OnnxArgMax¶

class skl2onnx.algebra.onnx_ops.OnnxArgMax(*args, **kwargs)¶: **Version**See ArgMax.

OnnxArgMax_1¶

class skl2onnx.algebra.onnx_ops.OnnxArgMax_1(*args, **kwargs)¶: **Version**See ArgMax_1.

OnnxArgMax_11¶

class skl2onnx.algebra.onnx_ops.OnnxArgMax_11(*args, **kwargs)¶: **Version**See ArgMax_11.

OnnxArgMax_12¶

class skl2onnx.algebra.onnx_ops.OnnxArgMax_12(*args, **kwargs)¶: **Version**See ArgMax_12.

OnnxArgMax_13¶

class skl2onnx.algebra.onnx_ops.OnnxArgMax_13(*args, **kwargs)¶: **Version**See ArgMax_13.

OnnxArgMin¶

class skl2onnx.algebra.onnx_ops.OnnxArgMin(*args, **kwargs)¶: **Version**See ArgMin.

OnnxArgMin_1¶

class skl2onnx.algebra.onnx_ops.OnnxArgMin_1(*args, **kwargs)¶: **Version**See ArgMin_1.

OnnxArgMin_11¶

class skl2onnx.algebra.onnx_ops.OnnxArgMin_11(*args, **kwargs)¶: **Version**See ArgMin_11.

OnnxArgMin_12¶

class skl2onnx.algebra.onnx_ops.OnnxArgMin_12(*args, **kwargs)¶: **Version**See ArgMin_12.

OnnxArgMin_13¶

class skl2onnx.algebra.onnx_ops.OnnxArgMin_13(*args, **kwargs)¶: **Version**See ArgMin_13.

OnnxArrayFeatureExtractor¶

class skl2onnx.algebra.onnx_ops.OnnxArrayFeatureExtractor(*args, **kwargs)¶: **Version**See ArrayFeatureExtractor.

OnnxArrayFeatureExtractor_1¶

class skl2onnx.algebra.onnx_ops.OnnxArrayFeatureExtractor_1(*args, **kwargs)¶: **Version**See ArrayFeatureExtractor_1.

OnnxAsin¶

class skl2onnx.algebra.onnx_ops.OnnxAsin(*args, **kwargs)¶: **Version**See Asin.

OnnxAsin_22¶

class skl2onnx.algebra.onnx_ops.OnnxAsin_22(*args, **kwargs)¶: **Version**See Asin_22.

OnnxAsin_7¶

class skl2onnx.algebra.onnx_ops.OnnxAsin_7(*args, **kwargs)¶: **Version**See Asin_7.

OnnxAsinh¶

class skl2onnx.algebra.onnx_ops.OnnxAsinh(*args, **kwargs)¶: **Version**See Asinh.

OnnxAsinh_22¶

class skl2onnx.algebra.onnx_ops.OnnxAsinh_22(*args, **kwargs)¶: **Version**See Asinh_22.

OnnxAsinh_9¶

class skl2onnx.algebra.onnx_ops.OnnxAsinh_9(*args, **kwargs)¶: **Version**See Asinh_9.

OnnxAtan¶

class skl2onnx.algebra.onnx_ops.OnnxAtan(*args, **kwargs)¶: **Version**See Atan.

OnnxAtan_22¶

class skl2onnx.algebra.onnx_ops.OnnxAtan_22(*args, **kwargs)¶: **Version**See Atan_22.

OnnxAtan_7¶

class skl2onnx.algebra.onnx_ops.OnnxAtan_7(*args, **kwargs)¶: **Version**See Atan_7.

OnnxAtanh¶

class skl2onnx.algebra.onnx_ops.OnnxAtanh(*args, **kwargs)¶: **Version**See Atanh.

OnnxAtanh_22¶

class skl2onnx.algebra.onnx_ops.OnnxAtanh_22(*args, **kwargs)¶: **Version**See Atanh_22.

OnnxAtanh_9¶

class skl2onnx.algebra.onnx_ops.OnnxAtanh_9(*args, **kwargs)¶: **Version**See Atanh_9.

OnnxAveragePool¶

class skl2onnx.algebra.onnx_ops.OnnxAveragePool(*args, **kwargs)¶: **Version**See AveragePool.

OnnxAveragePool_1¶

class skl2onnx.algebra.onnx_ops.OnnxAveragePool_1(*args, **kwargs)¶: **Version**See AveragePool_1.

OnnxAveragePool_10¶

class skl2onnx.algebra.onnx_ops.OnnxAveragePool_10(*args, **kwargs)¶: **Version**See AveragePool_10.

OnnxAveragePool_11¶

class skl2onnx.algebra.onnx_ops.OnnxAveragePool_11(*args, **kwargs)¶: **Version**See AveragePool_11.

OnnxAveragePool_19¶

class skl2onnx.algebra.onnx_ops.OnnxAveragePool_19(*args, **kwargs)¶: **Version**See AveragePool_19.

OnnxAveragePool_22¶

class skl2onnx.algebra.onnx_ops.OnnxAveragePool_22(*args, **kwargs)¶: **Version**See AveragePool_22.

OnnxAveragePool_7¶

class skl2onnx.algebra.onnx_ops.OnnxAveragePool_7(*args, **kwargs)¶: **Version**See AveragePool_7.

OnnxBatchNormalization¶

class skl2onnx.algebra.onnx_ops.OnnxBatchNormalization(*args, **kwargs)¶: **Version**See BatchNormalization.

OnnxBatchNormalization_1¶

class skl2onnx.algebra.onnx_ops.OnnxBatchNormalization_1(*args, **kwargs)¶: **Version**See BatchNormalization_1.

OnnxBatchNormalization_14¶

class skl2onnx.algebra.onnx_ops.OnnxBatchNormalization_14(*args, **kwargs)¶: **Version**See BatchNormalization_14.

OnnxBatchNormalization_15¶

class skl2onnx.algebra.onnx_ops.OnnxBatchNormalization_15(*args, **kwargs)¶: **Version**See BatchNormalization_15.

OnnxBatchNormalization_6¶

class skl2onnx.algebra.onnx_ops.OnnxBatchNormalization_6(*args, **kwargs)¶: **Version**See BatchNormalization_6.

OnnxBatchNormalization_7¶

class skl2onnx.algebra.onnx_ops.OnnxBatchNormalization_7(*args, **kwargs)¶: **Version**See BatchNormalization_7.

OnnxBatchNormalization_9¶

class skl2onnx.algebra.onnx_ops.OnnxBatchNormalization_9(*args, **kwargs)¶: **Version**See BatchNormalization_9.

OnnxBernoulli¶

class skl2onnx.algebra.onnx_ops.OnnxBernoulli(*args, **kwargs)¶: **Version**See Bernoulli.

OnnxBernoulli_15¶

class skl2onnx.algebra.onnx_ops.OnnxBernoulli_15(*args, **kwargs)¶: **Version**See Bernoulli_15.

OnnxBernoulli_22¶

class skl2onnx.algebra.onnx_ops.OnnxBernoulli_22(*args, **kwargs)¶: **Version**See Bernoulli_22.

OnnxBinarizer¶

class skl2onnx.algebra.onnx_ops.OnnxBinarizer(*args, **kwargs)¶: **Version**See Binarizer.

OnnxBinarizer_1¶

class skl2onnx.algebra.onnx_ops.OnnxBinarizer_1(*args, **kwargs)¶: **Version**See Binarizer_1.

OnnxBitShift¶

class skl2onnx.algebra.onnx_ops.OnnxBitShift(*args, **kwargs)¶: **Version**See BitShift.

OnnxBitShift_11¶

class skl2onnx.algebra.onnx_ops.OnnxBitShift_11(*args, **kwargs)¶: **Version**See BitShift_11.

OnnxBitwiseAnd¶

class skl2onnx.algebra.onnx_ops.OnnxBitwiseAnd(*args, **kwargs)¶: **Version**See BitwiseAnd.

OnnxBitwiseAnd_18¶

class skl2onnx.algebra.onnx_ops.OnnxBitwiseAnd_18(*args, **kwargs)¶: **Version**See BitwiseAnd_18.

OnnxBitwiseNot¶

class skl2onnx.algebra.onnx_ops.OnnxBitwiseNot(*args, **kwargs)¶: **Version**See BitwiseNot.

OnnxBitwiseNot_18¶

class skl2onnx.algebra.onnx_ops.OnnxBitwiseNot_18(*args, **kwargs)¶: **Version**See BitwiseNot_18.

OnnxBitwiseOr¶

class skl2onnx.algebra.onnx_ops.OnnxBitwiseOr(*args, **kwargs)¶: **Version**See BitwiseOr.

OnnxBitwiseOr_18¶

class skl2onnx.algebra.onnx_ops.OnnxBitwiseOr_18(*args, **kwargs)¶: **Version**See BitwiseOr_18.

OnnxBitwiseXor¶

class skl2onnx.algebra.onnx_ops.OnnxBitwiseXor(*args, **kwargs)¶: **Version**See BitwiseXor.

OnnxBitwiseXor_18¶

class skl2onnx.algebra.onnx_ops.OnnxBitwiseXor_18(*args, **kwargs)¶: **Version**See BitwiseXor_18.

OnnxBlackmanWindow¶

class skl2onnx.algebra.onnx_ops.OnnxBlackmanWindow(*args, **kwargs)¶: **Version**See BlackmanWindow.

OnnxBlackmanWindow_17¶

class skl2onnx.algebra.onnx_ops.OnnxBlackmanWindow_17(*args, **kwargs)¶: **Version**See BlackmanWindow_17.

OnnxCast¶

class skl2onnx.algebra.onnx_ops.OnnxCast(*args, **kwargs)¶: **Version**See Cast.

OnnxCastLike¶

class skl2onnx.algebra.onnx_ops.OnnxCastLike(*args, **kwargs)¶: **Version**See CastLike.

OnnxCastLike_15¶

class skl2onnx.algebra.onnx_ops.OnnxCastLike_15(*args, **kwargs)¶: **Version**See CastLike_15.

OnnxCastLike_19¶

class skl2onnx.algebra.onnx_ops.OnnxCastLike_19(*args, **kwargs)¶: **Version**See CastLike_19.

OnnxCastLike_21¶

class skl2onnx.algebra.onnx_ops.OnnxCastLike_21(*args, **kwargs)¶: **Version**See CastLike_21.

OnnxCastMap¶

class skl2onnx.algebra.onnx_ops.OnnxCastMap(*args, **kwargs)¶: **Version**See CastMap.

OnnxCastMap_1¶

class skl2onnx.algebra.onnx_ops.OnnxCastMap_1(*args, **kwargs)¶: **Version**See CastMap_1.

OnnxCast_1¶

class skl2onnx.algebra.onnx_ops.OnnxCast_1(*args, **kwargs)¶: **Version**See Cast_1.

OnnxCast_13¶

class skl2onnx.algebra.onnx_ops.OnnxCast_13(*args, **kwargs)¶: **Version**See Cast_13.

OnnxCast_19¶

class skl2onnx.algebra.onnx_ops.OnnxCast_19(*args, **kwargs)¶: **Version**See Cast_19.

OnnxCast_21¶

class skl2onnx.algebra.onnx_ops.OnnxCast_21(*args, **kwargs)¶: **Version**See Cast_21.

OnnxCast_6¶

class skl2onnx.algebra.onnx_ops.OnnxCast_6(*args, **kwargs)¶: **Version**See Cast_6.

OnnxCast_9¶

class skl2onnx.algebra.onnx_ops.OnnxCast_9(*args, **kwargs)¶: **Version**See Cast_9.

OnnxCategoryMapper¶

class skl2onnx.algebra.onnx_ops.OnnxCategoryMapper(*args, **kwargs)¶: **Version**See CategoryMapper.

OnnxCategoryMapper_1¶

class skl2onnx.algebra.onnx_ops.OnnxCategoryMapper_1(*args, **kwargs)¶: **Version**See CategoryMapper_1.

OnnxCeil¶

class skl2onnx.algebra.onnx_ops.OnnxCeil(*args, **kwargs)¶: **Version**See Ceil.

OnnxCeil_1¶

class skl2onnx.algebra.onnx_ops.OnnxCeil_1(*args, **kwargs)¶: **Version**See Ceil_1.

OnnxCeil_13¶

class skl2onnx.algebra.onnx_ops.OnnxCeil_13(*args, **kwargs)¶: **Version**See Ceil_13.

OnnxCeil_6¶

class skl2onnx.algebra.onnx_ops.OnnxCeil_6(*args, **kwargs)¶: **Version**See Ceil_6.

OnnxCelu¶

class skl2onnx.algebra.onnx_ops.OnnxCelu(*args, **kwargs)¶: **Version**See Celu.

OnnxCelu_12¶

class skl2onnx.algebra.onnx_ops.OnnxCelu_12(*args, **kwargs)¶: **Version**See Celu_12.

OnnxCenterCropPad¶

class skl2onnx.algebra.onnx_ops.OnnxCenterCropPad(*args, **kwargs)¶: **Version**See CenterCropPad.

OnnxCenterCropPad_18¶

class skl2onnx.algebra.onnx_ops.OnnxCenterCropPad_18(*args, **kwargs)¶: **Version**See CenterCropPad_18.

OnnxClip¶

class skl2onnx.algebra.onnx_ops.OnnxClip(*args, **kwargs)¶: **Version**See Clip.

OnnxClip_1¶

class skl2onnx.algebra.onnx_ops.OnnxClip_1(*args, **kwargs)¶: **Version**See Clip_1.

OnnxClip_11¶

class skl2onnx.algebra.onnx_ops.OnnxClip_11(*args, **kwargs)¶: **Version**See Clip_11.

OnnxClip_12¶

class skl2onnx.algebra.onnx_ops.OnnxClip_12(*args, **kwargs)¶: **Version**See Clip_12.

OnnxClip_13¶

class skl2onnx.algebra.onnx_ops.OnnxClip_13(*args, **kwargs)¶: **Version**See Clip_13.

OnnxClip_6¶

class skl2onnx.algebra.onnx_ops.OnnxClip_6(*args, **kwargs)¶: **Version**See Clip_6.

OnnxCol2Im¶

class skl2onnx.algebra.onnx_ops.OnnxCol2Im(*args, **kwargs)¶: **Version**See Col2Im.

OnnxCol2Im_18¶

class skl2onnx.algebra.onnx_ops.OnnxCol2Im_18(*args, **kwargs)¶: **Version**See Col2Im_18.

OnnxCompress¶

class skl2onnx.algebra.onnx_ops.OnnxCompress(*args, **kwargs)¶: **Version**See Compress.

OnnxCompress_11¶

class skl2onnx.algebra.onnx_ops.OnnxCompress_11(*args, **kwargs)¶: **Version**See Compress_11.

OnnxCompress_9¶

class skl2onnx.algebra.onnx_ops.OnnxCompress_9(*args, **kwargs)¶: **Version**See Compress_9.

OnnxConcat¶

class skl2onnx.algebra.onnx_ops.OnnxConcat(*args, **kwargs)¶: **Version**See Concat.

OnnxConcatFromSequence¶

class skl2onnx.algebra.onnx_ops.OnnxConcatFromSequence(*args, **kwargs)¶: **Version**See ConcatFromSequence.

OnnxConcatFromSequence_11¶

class skl2onnx.algebra.onnx_ops.OnnxConcatFromSequence_11(*args, **kwargs)¶: **Version**See ConcatFromSequence_11.

OnnxConcat_1¶

class skl2onnx.algebra.onnx_ops.OnnxConcat_1(*args, **kwargs)¶: **Version**See Concat_1.

OnnxConcat_11¶

class skl2onnx.algebra.onnx_ops.OnnxConcat_11(*args, **kwargs)¶: **Version**See Concat_11.

OnnxConcat_13¶

class skl2onnx.algebra.onnx_ops.OnnxConcat_13(*args, **kwargs)¶: **Version**See Concat_13.

OnnxConcat_4¶

class skl2onnx.algebra.onnx_ops.OnnxConcat_4(*args, **kwargs)¶: **Version**See Concat_4.

OnnxConstant¶

class skl2onnx.algebra.onnx_ops.OnnxConstant(*args, **kwargs)¶: **Version**See Constant.

OnnxConstantOfShape¶

class skl2onnx.algebra.onnx_ops.OnnxConstantOfShape(*args, **kwargs)¶: **Version**See ConstantOfShape.

OnnxConstantOfShape_20¶

class skl2onnx.algebra.onnx_ops.OnnxConstantOfShape_20(*args, **kwargs)¶: **Version**See ConstantOfShape_20.

OnnxConstantOfShape_21¶

class skl2onnx.algebra.onnx_ops.OnnxConstantOfShape_21(*args, **kwargs)¶: **Version**See ConstantOfShape_21.

OnnxConstantOfShape_9¶

class skl2onnx.algebra.onnx_ops.OnnxConstantOfShape_9(*args, **kwargs)¶: **Version**See ConstantOfShape_9.

OnnxConstant_1¶

class skl2onnx.algebra.onnx_ops.OnnxConstant_1(*args, **kwargs)¶: **Version**See Constant_1.

OnnxConstant_11¶

class skl2onnx.algebra.onnx_ops.OnnxConstant_11(*args, **kwargs)¶: **Version**See Constant_11.

OnnxConstant_12¶

class skl2onnx.algebra.onnx_ops.OnnxConstant_12(*args, **kwargs)¶: **Version**See Constant_12.

OnnxConstant_13¶

class skl2onnx.algebra.onnx_ops.OnnxConstant_13(*args, **kwargs)¶: **Version**See Constant_13.

OnnxConstant_19¶

class skl2onnx.algebra.onnx_ops.OnnxConstant_19(*args, **kwargs)¶: **Version**See Constant_19.

OnnxConstant_21¶

class skl2onnx.algebra.onnx_ops.OnnxConstant_21(*args, **kwargs)¶: **Version**See Constant_21.

OnnxConstant_9¶

class skl2onnx.algebra.onnx_ops.OnnxConstant_9(*args, **kwargs)¶: **Version**See Constant_9.

OnnxConv¶

class skl2onnx.algebra.onnx_ops.OnnxConv(*args, **kwargs)¶: **Version**See Conv.

OnnxConvInteger¶

class skl2onnx.algebra.onnx_ops.OnnxConvInteger(*args, **kwargs)¶: **Version**See ConvInteger.

OnnxConvInteger_10¶

class skl2onnx.algebra.onnx_ops.OnnxConvInteger_10(*args, **kwargs)¶: **Version**See ConvInteger_10.

OnnxConvTranspose¶

class skl2onnx.algebra.onnx_ops.OnnxConvTranspose(*args, **kwargs)¶: **Version**See ConvTranspose.

OnnxConvTranspose_1¶

class skl2onnx.algebra.onnx_ops.OnnxConvTranspose_1(*args, **kwargs)¶: **Version**See ConvTranspose_1.

OnnxConvTranspose_11¶

class skl2onnx.algebra.onnx_ops.OnnxConvTranspose_11(*args, **kwargs)¶: **Version**See ConvTranspose_11.

OnnxConvTranspose_22¶

class skl2onnx.algebra.onnx_ops.OnnxConvTranspose_22(*args, **kwargs)¶: **Version**See ConvTranspose_22.

OnnxConv_1¶

class skl2onnx.algebra.onnx_ops.OnnxConv_1(*args, **kwargs)¶: **Version**See Conv_1.

OnnxConv_11¶

class skl2onnx.algebra.onnx_ops.OnnxConv_11(*args, **kwargs)¶: **Version**See Conv_11.

OnnxConv_22¶

class skl2onnx.algebra.onnx_ops.OnnxConv_22(*args, **kwargs)¶: **Version**See Conv_22.

OnnxCos¶

class skl2onnx.algebra.onnx_ops.OnnxCos(*args, **kwargs)¶: **Version**See Cos.

OnnxCos_22¶

class skl2onnx.algebra.onnx_ops.OnnxCos_22(*args, **kwargs)¶: **Version**See Cos_22.

OnnxCos_7¶

class skl2onnx.algebra.onnx_ops.OnnxCos_7(*args, **kwargs)¶: **Version**See Cos_7.

OnnxCosh¶

class skl2onnx.algebra.onnx_ops.OnnxCosh(*args, **kwargs)¶: **Version**See Cosh.

OnnxCosh_22¶

class skl2onnx.algebra.onnx_ops.OnnxCosh_22(*args, **kwargs)¶: **Version**See Cosh_22.

OnnxCosh_9¶

class skl2onnx.algebra.onnx_ops.OnnxCosh_9(*args, **kwargs)¶: **Version**See Cosh_9.

OnnxCumSum¶

class skl2onnx.algebra.onnx_ops.OnnxCumSum(*args, **kwargs)¶: **Version**See CumSum.

OnnxCumSum_11¶

class skl2onnx.algebra.onnx_ops.OnnxCumSum_11(*args, **kwargs)¶: **Version**See CumSum_11.

OnnxCumSum_14¶

class skl2onnx.algebra.onnx_ops.OnnxCumSum_14(*args, **kwargs)¶: **Version**See CumSum_14.

OnnxDFT¶

class skl2onnx.algebra.onnx_ops.OnnxDFT(*args, **kwargs)¶: **Version**See DFT.

OnnxDFT_17¶

class skl2onnx.algebra.onnx_ops.OnnxDFT_17(*args, **kwargs)¶: **Version**See DFT_17.

OnnxDFT_20¶

class skl2onnx.algebra.onnx_ops.OnnxDFT_20(*args, **kwargs)¶: **Version**See DFT_20.

OnnxDeformConv¶

class skl2onnx.algebra.onnx_ops.OnnxDeformConv(*args, **kwargs)¶: **Version**See DeformConv.

OnnxDeformConv_19¶

class skl2onnx.algebra.onnx_ops.OnnxDeformConv_19(*args, **kwargs)¶: **Version**See DeformConv_19.

OnnxDeformConv_22¶

class skl2onnx.algebra.onnx_ops.OnnxDeformConv_22(*args, **kwargs)¶: **Version**See DeformConv_22.

OnnxDepthToSpace¶

class skl2onnx.algebra.onnx_ops.OnnxDepthToSpace(*args, **kwargs)¶: **Version**See DepthToSpace.

OnnxDepthToSpace_1¶

class skl2onnx.algebra.onnx_ops.OnnxDepthToSpace_1(*args, **kwargs)¶: **Version**See DepthToSpace_1.

OnnxDepthToSpace_11¶

class skl2onnx.algebra.onnx_ops.OnnxDepthToSpace_11(*args, **kwargs)¶: **Version**See DepthToSpace_11.

OnnxDepthToSpace_13¶

class skl2onnx.algebra.onnx_ops.OnnxDepthToSpace_13(*args, **kwargs)¶: **Version**See DepthToSpace_13.

OnnxDequantizeLinear¶

class skl2onnx.algebra.onnx_ops.OnnxDequantizeLinear(*args, **kwargs)¶: **Version**See DequantizeLinear.

OnnxDequantizeLinear_10¶

class skl2onnx.algebra.onnx_ops.OnnxDequantizeLinear_10(*args, **kwargs)¶: **Version**See DequantizeLinear_10.

OnnxDequantizeLinear_13¶

class skl2onnx.algebra.onnx_ops.OnnxDequantizeLinear_13(*args, **kwargs)¶: **Version**See DequantizeLinear_13.

OnnxDequantizeLinear_19¶

class skl2onnx.algebra.onnx_ops.OnnxDequantizeLinear_19(*args, **kwargs)¶: **Version**See DequantizeLinear_19.

OnnxDequantizeLinear_21¶

class skl2onnx.algebra.onnx_ops.OnnxDequantizeLinear_21(*args, **kwargs)¶: **Version**See DequantizeLinear_21.

OnnxDet¶

class skl2onnx.algebra.onnx_ops.OnnxDet(*args, **kwargs)¶: **Version**See Det.

OnnxDet_11¶

class skl2onnx.algebra.onnx_ops.OnnxDet_11(*args, **kwargs)¶: **Version**See Det_11.

OnnxDet_22¶

class skl2onnx.algebra.onnx_ops.OnnxDet_22(*args, **kwargs)¶: **Version**See Det_22.

OnnxDictVectorizer¶

class skl2onnx.algebra.onnx_ops.OnnxDictVectorizer(*args, **kwargs)¶: **Version**See DictVectorizer.

OnnxDictVectorizer_1¶

class skl2onnx.algebra.onnx_ops.OnnxDictVectorizer_1(*args, **kwargs)¶: **Version**See DictVectorizer_1.

OnnxDiv¶

class skl2onnx.algebra.onnx_ops.OnnxDiv(*args, **kwargs)¶: **Version**See Div.

OnnxDiv_1¶

class skl2onnx.algebra.onnx_ops.OnnxDiv_1(*args, **kwargs)¶: **Version**See Div_1.

OnnxDiv_13¶

class skl2onnx.algebra.onnx_ops.OnnxDiv_13(*args, **kwargs)¶: **Version**See Div_13.

OnnxDiv_14¶

class skl2onnx.algebra.onnx_ops.OnnxDiv_14(*args, **kwargs)¶: **Version**See Div_14.

OnnxDiv_6¶

class skl2onnx.algebra.onnx_ops.OnnxDiv_6(*args, **kwargs)¶: **Version**See Div_6.

OnnxDiv_7¶

class skl2onnx.algebra.onnx_ops.OnnxDiv_7(*args, **kwargs)¶: **Version**See Div_7.

OnnxDropout¶

class skl2onnx.algebra.onnx_ops.OnnxDropout(*args, **kwargs)¶: **Version**See Dropout.

OnnxDropout_1¶

class skl2onnx.algebra.onnx_ops.OnnxDropout_1(*args, **kwargs)¶: **Version**See Dropout_1.

OnnxDropout_10¶

class skl2onnx.algebra.onnx_ops.OnnxDropout_10(*args, **kwargs)¶: **Version**See Dropout_10.

OnnxDropout_12¶

class skl2onnx.algebra.onnx_ops.OnnxDropout_12(*args, **kwargs)¶: **Version**See Dropout_12.

OnnxDropout_13¶

class skl2onnx.algebra.onnx_ops.OnnxDropout_13(*args, **kwargs)¶: **Version**See Dropout_13.

OnnxDropout_22¶

class skl2onnx.algebra.onnx_ops.OnnxDropout_22(*args, **kwargs)¶: **Version**See Dropout_22.

OnnxDropout_6¶

class skl2onnx.algebra.onnx_ops.OnnxDropout_6(*args, **kwargs)¶: **Version**See Dropout_6.

OnnxDropout_7¶

class skl2onnx.algebra.onnx_ops.OnnxDropout_7(*args, **kwargs)¶: **Version**See Dropout_7.

OnnxDynamicQuantizeLinear¶

class skl2onnx.algebra.onnx_ops.OnnxDynamicQuantizeLinear(*args, **kwargs)¶: **Version**See DynamicQuantizeLinear.

OnnxDynamicQuantizeLinear_11¶

class skl2onnx.algebra.onnx_ops.OnnxDynamicQuantizeLinear_11(*args, **kwargs)¶: **Version**See DynamicQuantizeLinear_11.

OnnxEinsum¶

class skl2onnx.algebra.onnx_ops.OnnxEinsum(*args, **kwargs)¶: **Version**See Einsum.

OnnxEinsum_12¶

class skl2onnx.algebra.onnx_ops.OnnxEinsum_12(*args, **kwargs)¶: **Version**See Einsum_12.

OnnxElu¶

class skl2onnx.algebra.onnx_ops.OnnxElu(*args, **kwargs)¶: **Version**See Elu.

OnnxElu_1¶

class skl2onnx.algebra.onnx_ops.OnnxElu_1(*args, **kwargs)¶: **Version**See Elu_1.

OnnxElu_22¶

class skl2onnx.algebra.onnx_ops.OnnxElu_22(*args, **kwargs)¶: **Version**See Elu_22.

OnnxElu_6¶

class skl2onnx.algebra.onnx_ops.OnnxElu_6(*args, **kwargs)¶: **Version**See Elu_6.

OnnxEqual¶

class skl2onnx.algebra.onnx_ops.OnnxEqual(*args, **kwargs)¶: **Version**See Equal.

OnnxEqual_1¶

class skl2onnx.algebra.onnx_ops.OnnxEqual_1(*args, **kwargs)¶: **Version**See Equal_1.

OnnxEqual_11¶

class skl2onnx.algebra.onnx_ops.OnnxEqual_11(*args, **kwargs)¶: **Version**See Equal_11.

OnnxEqual_13¶

class skl2onnx.algebra.onnx_ops.OnnxEqual_13(*args, **kwargs)¶: **Version**See Equal_13.

OnnxEqual_19¶

class skl2onnx.algebra.onnx_ops.OnnxEqual_19(*args, **kwargs)¶: **Version**See Equal_19.

OnnxEqual_7¶

class skl2onnx.algebra.onnx_ops.OnnxEqual_7(*args, **kwargs)¶: **Version**See Equal_7.

OnnxErf¶

class skl2onnx.algebra.onnx_ops.OnnxErf(*args, **kwargs)¶: **Version**See Erf.

OnnxErf_13¶

class skl2onnx.algebra.onnx_ops.OnnxErf_13(*args, **kwargs)¶: **Version**See Erf_13.

OnnxErf_9¶

class skl2onnx.algebra.onnx_ops.OnnxErf_9(*args, **kwargs)¶: **Version**See Erf_9.

OnnxExp¶

class skl2onnx.algebra.onnx_ops.OnnxExp(*args, **kwargs)¶: **Version**See Exp.

OnnxExp_1¶

class skl2onnx.algebra.onnx_ops.OnnxExp_1(*args, **kwargs)¶: **Version**See Exp_1.

OnnxExp_13¶

class skl2onnx.algebra.onnx_ops.OnnxExp_13(*args, **kwargs)¶: **Version**See Exp_13.

OnnxExp_6¶

class skl2onnx.algebra.onnx_ops.OnnxExp_6(*args, **kwargs)¶: **Version**See Exp_6.

OnnxExpand¶

class skl2onnx.algebra.onnx_ops.OnnxExpand(*args, **kwargs)¶: **Version**See Expand.

OnnxExpand_13¶

class skl2onnx.algebra.onnx_ops.OnnxExpand_13(*args, **kwargs)¶: **Version**See Expand_13.

OnnxExpand_8¶

class skl2onnx.algebra.onnx_ops.OnnxExpand_8(*args, **kwargs)¶: **Version**See Expand_8.

OnnxEyeLike¶

class skl2onnx.algebra.onnx_ops.OnnxEyeLike(*args, **kwargs)¶: **Version**See EyeLike.

OnnxEyeLike_22¶

class skl2onnx.algebra.onnx_ops.OnnxEyeLike_22(*args, **kwargs)¶: **Version**See EyeLike_22.

OnnxEyeLike_9¶

class skl2onnx.algebra.onnx_ops.OnnxEyeLike_9(*args, **kwargs)¶: **Version**See EyeLike_9.

OnnxFeatureVectorizer¶

class skl2onnx.algebra.onnx_ops.OnnxFeatureVectorizer(*args, **kwargs)¶: **Version**See FeatureVectorizer.

OnnxFeatureVectorizer_1¶

class skl2onnx.algebra.onnx_ops.OnnxFeatureVectorizer_1(*args, **kwargs)¶: **Version**See FeatureVectorizer_1.

OnnxFlatten¶

class skl2onnx.algebra.onnx_ops.OnnxFlatten(*args, **kwargs)¶: **Version**See Flatten.

OnnxFlatten_1¶

class skl2onnx.algebra.onnx_ops.OnnxFlatten_1(*args, **kwargs)¶: **Version**See Flatten_1.

OnnxFlatten_11¶

class skl2onnx.algebra.onnx_ops.OnnxFlatten_11(*args, **kwargs)¶: **Version**See Flatten_11.

OnnxFlatten_13¶

class skl2onnx.algebra.onnx_ops.OnnxFlatten_13(*args, **kwargs)¶: **Version**See Flatten_13.

OnnxFlatten_21¶

class skl2onnx.algebra.onnx_ops.OnnxFlatten_21(*args, **kwargs)¶: **Version**See Flatten_21.

OnnxFlatten_9¶

class skl2onnx.algebra.onnx_ops.OnnxFlatten_9(*args, **kwargs)¶: **Version**See Flatten_9.

OnnxFloor¶

class skl2onnx.algebra.onnx_ops.OnnxFloor(*args, **kwargs)¶: **Version**See Floor.

OnnxFloor_1¶

class skl2onnx.algebra.onnx_ops.OnnxFloor_1(*args, **kwargs)¶: **Version**See Floor_1.

OnnxFloor_13¶

class skl2onnx.algebra.onnx_ops.OnnxFloor_13(*args, **kwargs)¶: **Version**See Floor_13.

OnnxFloor_6¶

class skl2onnx.algebra.onnx_ops.OnnxFloor_6(*args, **kwargs)¶: **Version**See Floor_6.

OnnxGRU¶

class skl2onnx.algebra.onnx_ops.OnnxGRU(*args, **kwargs)¶: **Version**See GRU.

OnnxGRU_1¶

class skl2onnx.algebra.onnx_ops.OnnxGRU_1(*args, **kwargs)¶: **Version**See GRU_1.

OnnxGRU_14¶

class skl2onnx.algebra.onnx_ops.OnnxGRU_14(*args, **kwargs)¶: **Version**See GRU_14.

OnnxGRU_22¶

class skl2onnx.algebra.onnx_ops.OnnxGRU_22(*args, **kwargs)¶: **Version**See GRU_22.

OnnxGRU_3¶

class skl2onnx.algebra.onnx_ops.OnnxGRU_3(*args, **kwargs)¶: **Version**See GRU_3.

OnnxGRU_7¶

class skl2onnx.algebra.onnx_ops.OnnxGRU_7(*args, **kwargs)¶: **Version**See GRU_7.

OnnxGather¶

class skl2onnx.algebra.onnx_ops.OnnxGather(*args, **kwargs)¶: **Version**See Gather.

OnnxGatherElements¶

class skl2onnx.algebra.onnx_ops.OnnxGatherElements(*args, **kwargs)¶: **Version**See GatherElements.

OnnxGatherElements_11¶

class skl2onnx.algebra.onnx_ops.OnnxGatherElements_11(*args, **kwargs)¶: **Version**See GatherElements_11.

OnnxGatherElements_13¶

class skl2onnx.algebra.onnx_ops.OnnxGatherElements_13(*args, **kwargs)¶: **Version**See GatherElements_13.

OnnxGatherND¶

class skl2onnx.algebra.onnx_ops.OnnxGatherND(*args, **kwargs)¶: **Version**See GatherND.

OnnxGatherND_11¶

class skl2onnx.algebra.onnx_ops.OnnxGatherND_11(*args, **kwargs)¶: **Version**See GatherND_11.

OnnxGatherND_12¶

class skl2onnx.algebra.onnx_ops.OnnxGatherND_12(*args, **kwargs)¶: **Version**See GatherND_12.

OnnxGatherND_13¶

class skl2onnx.algebra.onnx_ops.OnnxGatherND_13(*args, **kwargs)¶: **Version**See GatherND_13.

OnnxGather_1¶

class skl2onnx.algebra.onnx_ops.OnnxGather_1(*args, **kwargs)¶: **Version**See Gather_1.

OnnxGather_11¶

class skl2onnx.algebra.onnx_ops.OnnxGather_11(*args, **kwargs)¶: **Version**See Gather_11.

OnnxGather_13¶

class skl2onnx.algebra.onnx_ops.OnnxGather_13(*args, **kwargs)¶: **Version**See Gather_13.

OnnxGelu¶

class skl2onnx.algebra.onnx_ops.OnnxGelu(*args, **kwargs)¶: **Version**See Gelu.

OnnxGelu_20¶

class skl2onnx.algebra.onnx_ops.OnnxGelu_20(*args, **kwargs)¶: **Version**See Gelu_20.

OnnxGemm¶

class skl2onnx.algebra.onnx_ops.OnnxGemm(*args, **kwargs)¶: **Version**See Gemm.

OnnxGemm_1¶

class skl2onnx.algebra.onnx_ops.OnnxGemm_1(*args, **kwargs)¶: **Version**See Gemm_1.

OnnxGemm_11¶

class skl2onnx.algebra.onnx_ops.OnnxGemm_11(*args, **kwargs)¶: **Version**See Gemm_11.

OnnxGemm_13¶

class skl2onnx.algebra.onnx_ops.OnnxGemm_13(*args, **kwargs)¶: **Version**See Gemm_13.

OnnxGemm_6¶

class skl2onnx.algebra.onnx_ops.OnnxGemm_6(*args, **kwargs)¶: **Version**See Gemm_6.

OnnxGemm_7¶

class skl2onnx.algebra.onnx_ops.OnnxGemm_7(*args, **kwargs)¶: **Version**See Gemm_7.

OnnxGemm_9¶

class skl2onnx.algebra.onnx_ops.OnnxGemm_9(*args, **kwargs)¶: **Version**See Gemm_9.

OnnxGlobalAveragePool¶

class skl2onnx.algebra.onnx_ops.OnnxGlobalAveragePool(*args, **kwargs)¶: **Version**See GlobalAveragePool.

OnnxGlobalAveragePool_1¶

class skl2onnx.algebra.onnx_ops.OnnxGlobalAveragePool_1(*args, **kwargs)¶: **Version**See GlobalAveragePool_1.

OnnxGlobalAveragePool_22¶

class skl2onnx.algebra.onnx_ops.OnnxGlobalAveragePool_22(*args, **kwargs)¶: **Version**See GlobalAveragePool_22.

OnnxGlobalLpPool¶

class skl2onnx.algebra.onnx_ops.OnnxGlobalLpPool(*args, **kwargs)¶: **Version**See GlobalLpPool.

OnnxGlobalLpPool_1¶

class skl2onnx.algebra.onnx_ops.OnnxGlobalLpPool_1(*args, **kwargs)¶: **Version**See GlobalLpPool_1.

OnnxGlobalLpPool_2¶

class skl2onnx.algebra.onnx_ops.OnnxGlobalLpPool_2(*args, **kwargs)¶: **Version**See GlobalLpPool_2.

OnnxGlobalLpPool_22¶

class skl2onnx.algebra.onnx_ops.OnnxGlobalLpPool_22(*args, **kwargs)¶: **Version**See GlobalLpPool_22.

OnnxGlobalMaxPool¶

class skl2onnx.algebra.onnx_ops.OnnxGlobalMaxPool(*args, **kwargs)¶: **Version**See GlobalMaxPool.

OnnxGlobalMaxPool_1¶

class skl2onnx.algebra.onnx_ops.OnnxGlobalMaxPool_1(*args, **kwargs)¶: **Version**See GlobalMaxPool_1.

OnnxGlobalMaxPool_22¶

class skl2onnx.algebra.onnx_ops.OnnxGlobalMaxPool_22(*args, **kwargs)¶: **Version**See GlobalMaxPool_22.

OnnxGradient¶

class skl2onnx.algebra.onnx_ops.OnnxGradient(*args, **kwargs)¶: **Version**See Gradient.

OnnxGradient_1¶

class skl2onnx.algebra.onnx_ops.OnnxGradient_1(*args, **kwargs)¶: **Version**See Gradient_1.

OnnxGreater¶

class skl2onnx.algebra.onnx_ops.OnnxGreater(*args, **kwargs)¶: **Version**See Greater.

OnnxGreaterOrEqual¶

class skl2onnx.algebra.onnx_ops.OnnxGreaterOrEqual(*args, **kwargs)¶: **Version**See GreaterOrEqual.

OnnxGreaterOrEqual_12¶

class skl2onnx.algebra.onnx_ops.OnnxGreaterOrEqual_12(*args, **kwargs)¶: **Version**See GreaterOrEqual_12.

OnnxGreaterOrEqual_16¶

class skl2onnx.algebra.onnx_ops.OnnxGreaterOrEqual_16(*args, **kwargs)¶: **Version**See GreaterOrEqual_16.

OnnxGreater_1¶

class skl2onnx.algebra.onnx_ops.OnnxGreater_1(*args, **kwargs)¶: **Version**See Greater_1.

OnnxGreater_13¶

class skl2onnx.algebra.onnx_ops.OnnxGreater_13(*args, **kwargs)¶: **Version**See Greater_13.

OnnxGreater_7¶

class skl2onnx.algebra.onnx_ops.OnnxGreater_7(*args, **kwargs)¶: **Version**See Greater_7.

OnnxGreater_9¶

class skl2onnx.algebra.onnx_ops.OnnxGreater_9(*args, **kwargs)¶: **Version**See Greater_9.

OnnxGridSample¶

class skl2onnx.algebra.onnx_ops.OnnxGridSample(*args, **kwargs)¶: **Version**See GridSample.

OnnxGridSample_16¶

class skl2onnx.algebra.onnx_ops.OnnxGridSample_16(*args, **kwargs)¶: **Version**See GridSample_16.

OnnxGridSample_20¶

class skl2onnx.algebra.onnx_ops.OnnxGridSample_20(*args, **kwargs)¶: **Version**See GridSample_20.

OnnxGridSample_22¶

class skl2onnx.algebra.onnx_ops.OnnxGridSample_22(*args, **kwargs)¶: **Version**See GridSample_22.

OnnxGroupNormalization¶

class skl2onnx.algebra.onnx_ops.OnnxGroupNormalization(*args, **kwargs)¶: **Version**See GroupNormalization.

OnnxGroupNormalization_18¶

class skl2onnx.algebra.onnx_ops.OnnxGroupNormalization_18(*args, **kwargs)¶: **Version**See GroupNormalization_18.

OnnxGroupNormalization_21¶

class skl2onnx.algebra.onnx_ops.OnnxGroupNormalization_21(*args, **kwargs)¶: **Version**See GroupNormalization_21.

OnnxHammingWindow¶

class skl2onnx.algebra.onnx_ops.OnnxHammingWindow(*args, **kwargs)¶: **Version**See HammingWindow.

OnnxHammingWindow_17¶

class skl2onnx.algebra.onnx_ops.OnnxHammingWindow_17(*args, **kwargs)¶: **Version**See HammingWindow_17.

OnnxHannWindow¶

class skl2onnx.algebra.onnx_ops.OnnxHannWindow(*args, **kwargs)¶: **Version**See HannWindow.

OnnxHannWindow_17¶

class skl2onnx.algebra.onnx_ops.OnnxHannWindow_17(*args, **kwargs)¶: **Version**See HannWindow_17.

OnnxHardSigmoid¶

class skl2onnx.algebra.onnx_ops.OnnxHardSigmoid(*args, **kwargs)¶: **Version**See HardSigmoid.

OnnxHardSigmoid_1¶

class skl2onnx.algebra.onnx_ops.OnnxHardSigmoid_1(*args, **kwargs)¶: **Version**See HardSigmoid_1.

OnnxHardSigmoid_22¶

class skl2onnx.algebra.onnx_ops.OnnxHardSigmoid_22(*args, **kwargs)¶: **Version**See HardSigmoid_22.

OnnxHardSigmoid_6¶

class skl2onnx.algebra.onnx_ops.OnnxHardSigmoid_6(*args, **kwargs)¶: **Version**See HardSigmoid_6.

OnnxHardSwish¶

class skl2onnx.algebra.onnx_ops.OnnxHardSwish(*args, **kwargs)¶: **Version**See HardSwish.

OnnxHardSwish_14¶

class skl2onnx.algebra.onnx_ops.OnnxHardSwish_14(*args, **kwargs)¶: **Version**See HardSwish_14.

OnnxHardSwish_22¶

class skl2onnx.algebra.onnx_ops.OnnxHardSwish_22(*args, **kwargs)¶: **Version**See HardSwish_22.

OnnxHardmax¶

class skl2onnx.algebra.onnx_ops.OnnxHardmax(*args, **kwargs)¶: **Version**See Hardmax.

OnnxHardmax_1¶

class skl2onnx.algebra.onnx_ops.OnnxHardmax_1(*args, **kwargs)¶: **Version**See Hardmax_1.

OnnxHardmax_11¶

class skl2onnx.algebra.onnx_ops.OnnxHardmax_11(*args, **kwargs)¶: **Version**See Hardmax_11.

OnnxHardmax_13¶

class skl2onnx.algebra.onnx_ops.OnnxHardmax_13(*args, **kwargs)¶: **Version**See Hardmax_13.

OnnxIdentity¶

class skl2onnx.algebra.onnx_ops.OnnxIdentity(*args, **kwargs)¶: **Version**See Identity.

OnnxIdentity_1¶

class skl2onnx.algebra.onnx_ops.OnnxIdentity_1(*args, **kwargs)¶: **Version**See Identity_1.

OnnxIdentity_13¶

class skl2onnx.algebra.onnx_ops.OnnxIdentity_13(*args, **kwargs)¶: **Version**See Identity_13.

OnnxIdentity_14¶

class skl2onnx.algebra.onnx_ops.OnnxIdentity_14(*args, **kwargs)¶: **Version**See Identity_14.

OnnxIdentity_16¶

class skl2onnx.algebra.onnx_ops.OnnxIdentity_16(*args, **kwargs)¶: **Version**See Identity_16.

OnnxIdentity_19¶

class skl2onnx.algebra.onnx_ops.OnnxIdentity_19(*args, **kwargs)¶: **Version**See Identity_19.

OnnxIdentity_21¶

class skl2onnx.algebra.onnx_ops.OnnxIdentity_21(*args, **kwargs)¶: **Version**See Identity_21.

OnnxIf¶

class skl2onnx.algebra.onnx_ops.OnnxIf(*args, **kwargs)¶: **Version**See If.

OnnxIf_1¶

class skl2onnx.algebra.onnx_ops.OnnxIf_1(*args, **kwargs)¶: **Version**See If_1.

OnnxIf_11¶

class skl2onnx.algebra.onnx_ops.OnnxIf_11(*args, **kwargs)¶: **Version**See If_11.

OnnxIf_13¶

class skl2onnx.algebra.onnx_ops.OnnxIf_13(*args, **kwargs)¶: **Version**See If_13.

OnnxIf_16¶

class skl2onnx.algebra.onnx_ops.OnnxIf_16(*args, **kwargs)¶: **Version**See If_16.

OnnxIf_19¶

class skl2onnx.algebra.onnx_ops.OnnxIf_19(*args, **kwargs)¶: **Version**See If_19.

OnnxIf_21¶

class skl2onnx.algebra.onnx_ops.OnnxIf_21(*args, **kwargs)¶: **Version**See If_21.

OnnxImageDecoder¶

class skl2onnx.algebra.onnx_ops.OnnxImageDecoder(*args, **kwargs)¶: **Version**See ImageDecoder.

OnnxImageDecoder_20¶

class skl2onnx.algebra.onnx_ops.OnnxImageDecoder_20(*args, **kwargs)¶: **Version**See ImageDecoder_20.

OnnxImputer¶

class skl2onnx.algebra.onnx_ops.OnnxImputer(*args, **kwargs)¶: **Version**See Imputer.

OnnxImputer_1¶

class skl2onnx.algebra.onnx_ops.OnnxImputer_1(*args, **kwargs)¶: **Version**See Imputer_1.

OnnxInstanceNormalization¶

class skl2onnx.algebra.onnx_ops.OnnxInstanceNormalization(*args, **kwargs)¶: **Version**See InstanceNormalization.

OnnxInstanceNormalization_1¶

class skl2onnx.algebra.onnx_ops.OnnxInstanceNormalization_1(*args, **kwargs)¶: **Version**See InstanceNormalization_1.

OnnxInstanceNormalization_22¶

class skl2onnx.algebra.onnx_ops.OnnxInstanceNormalization_22(*args, **kwargs)¶: **Version**See InstanceNormalization_22.

OnnxInstanceNormalization_6¶

class skl2onnx.algebra.onnx_ops.OnnxInstanceNormalization_6(*args, **kwargs)¶: **Version**See InstanceNormalization_6.

OnnxIsInf¶

class skl2onnx.algebra.onnx_ops.OnnxIsInf(*args, **kwargs)¶: **Version**See IsInf.

OnnxIsInf_10¶

class skl2onnx.algebra.onnx_ops.OnnxIsInf_10(*args, **kwargs)¶: **Version**See IsInf_10.

OnnxIsInf_20¶

class skl2onnx.algebra.onnx_ops.OnnxIsInf_20(*args, **kwargs)¶: **Version**See IsInf_20.

OnnxIsNaN¶

class skl2onnx.algebra.onnx_ops.OnnxIsNaN(*args, **kwargs)¶: **Version**See IsNaN.

OnnxIsNaN_13¶

class skl2onnx.algebra.onnx_ops.OnnxIsNaN_13(*args, **kwargs)¶: **Version**See IsNaN_13.

OnnxIsNaN_20¶

class skl2onnx.algebra.onnx_ops.OnnxIsNaN_20(*args, **kwargs)¶: **Version**See IsNaN_20.

OnnxIsNaN_9¶

class skl2onnx.algebra.onnx_ops.OnnxIsNaN_9(*args, **kwargs)¶: **Version**See IsNaN_9.

OnnxLRN¶

class skl2onnx.algebra.onnx_ops.OnnxLRN(*args, **kwargs)¶: **Version**See LRN.

OnnxLRN_1¶

class skl2onnx.algebra.onnx_ops.OnnxLRN_1(*args, **kwargs)¶: **Version**See LRN_1.

OnnxLRN_13¶

class skl2onnx.algebra.onnx_ops.OnnxLRN_13(*args, **kwargs)¶: **Version**See LRN_13.

OnnxLSTM¶

class skl2onnx.algebra.onnx_ops.OnnxLSTM(*args, **kwargs)¶: **Version**See LSTM.

OnnxLSTM_1¶

class skl2onnx.algebra.onnx_ops.OnnxLSTM_1(*args, **kwargs)¶: **Version**See LSTM_1.

OnnxLSTM_14¶

class skl2onnx.algebra.onnx_ops.OnnxLSTM_14(*args, **kwargs)¶: **Version**See LSTM_14.

OnnxLSTM_22¶

class skl2onnx.algebra.onnx_ops.OnnxLSTM_22(*args, **kwargs)¶: **Version**See LSTM_22.

OnnxLSTM_7¶

class skl2onnx.algebra.onnx_ops.OnnxLSTM_7(*args, **kwargs)¶: **Version**See LSTM_7.

OnnxLabelEncoder¶

class skl2onnx.algebra.onnx_ops.OnnxLabelEncoder(*args, **kwargs)¶: **Version**See LabelEncoder.

OnnxLabelEncoder_1¶

class skl2onnx.algebra.onnx_ops.OnnxLabelEncoder_1(*args, **kwargs)¶: **Version**See LabelEncoder_1.

OnnxLabelEncoder_2¶

class skl2onnx.algebra.onnx_ops.OnnxLabelEncoder_2(*args, **kwargs)¶: **Version**See LabelEncoder_2.

OnnxLabelEncoder_4¶

class skl2onnx.algebra.onnx_ops.OnnxLabelEncoder_4(*args, **kwargs)¶: **Version**See LabelEncoder_4.

OnnxLayerNormalization¶

class skl2onnx.algebra.onnx_ops.OnnxLayerNormalization(*args, **kwargs)¶: **Version**See LayerNormalization.

OnnxLayerNormalization_17¶

class skl2onnx.algebra.onnx_ops.OnnxLayerNormalization_17(*args, **kwargs)¶: **Version**See LayerNormalization_17.

OnnxLeakyRelu¶

class skl2onnx.algebra.onnx_ops.OnnxLeakyRelu(*args, **kwargs)¶: **Version**See LeakyRelu.

OnnxLeakyRelu_1¶

class skl2onnx.algebra.onnx_ops.OnnxLeakyRelu_1(*args, **kwargs)¶: **Version**See LeakyRelu_1.

OnnxLeakyRelu_16¶

class skl2onnx.algebra.onnx_ops.OnnxLeakyRelu_16(*args, **kwargs)¶: **Version**See LeakyRelu_16.

OnnxLeakyRelu_6¶

class skl2onnx.algebra.onnx_ops.OnnxLeakyRelu_6(*args, **kwargs)¶: **Version**See LeakyRelu_6.

OnnxLess¶

class skl2onnx.algebra.onnx_ops.OnnxLess(*args, **kwargs)¶: **Version**See Less.

OnnxLessOrEqual¶

class skl2onnx.algebra.onnx_ops.OnnxLessOrEqual(*args, **kwargs)¶: **Version**See LessOrEqual.

OnnxLessOrEqual_12¶

class skl2onnx.algebra.onnx_ops.OnnxLessOrEqual_12(*args, **kwargs)¶: **Version**See LessOrEqual_12.

OnnxLessOrEqual_16¶

class skl2onnx.algebra.onnx_ops.OnnxLessOrEqual_16(*args, **kwargs)¶: **Version**See LessOrEqual_16.

OnnxLess_1¶

class skl2onnx.algebra.onnx_ops.OnnxLess_1(*args, **kwargs)¶: **Version**See Less_1.

OnnxLess_13¶

class skl2onnx.algebra.onnx_ops.OnnxLess_13(*args, **kwargs)¶: **Version**See Less_13.

OnnxLess_7¶

class skl2onnx.algebra.onnx_ops.OnnxLess_7(*args, **kwargs)¶: **Version**See Less_7.

OnnxLess_9¶

class skl2onnx.algebra.onnx_ops.OnnxLess_9(*args, **kwargs)¶: **Version**See Less_9.

OnnxLinearClassifier¶

class skl2onnx.algebra.onnx_ops.OnnxLinearClassifier(*args, **kwargs)¶: **Version**See LinearClassifier.

OnnxLinearClassifier_1¶

class skl2onnx.algebra.onnx_ops.OnnxLinearClassifier_1(*args, **kwargs)¶: **Version**See LinearClassifier_1.

OnnxLinearRegressor¶

class skl2onnx.algebra.onnx_ops.OnnxLinearRegressor(*args, **kwargs)¶: **Version**See LinearRegressor.

OnnxLinearRegressor_1¶

class skl2onnx.algebra.onnx_ops.OnnxLinearRegressor_1(*args, **kwargs)¶: **Version**See LinearRegressor_1.

OnnxLog¶

class skl2onnx.algebra.onnx_ops.OnnxLog(*args, **kwargs)¶: **Version**See Log.

OnnxLogSoftmax¶

class skl2onnx.algebra.onnx_ops.OnnxLogSoftmax(*args, **kwargs)¶: **Version**See LogSoftmax.

OnnxLogSoftmax_1¶

class skl2onnx.algebra.onnx_ops.OnnxLogSoftmax_1(*args, **kwargs)¶: **Version**See LogSoftmax_1.

OnnxLogSoftmax_11¶

class skl2onnx.algebra.onnx_ops.OnnxLogSoftmax_11(*args, **kwargs)¶: **Version**See LogSoftmax_11.

OnnxLogSoftmax_13¶

class skl2onnx.algebra.onnx_ops.OnnxLogSoftmax_13(*args, **kwargs)¶: **Version**See LogSoftmax_13.

OnnxLog_1¶

class skl2onnx.algebra.onnx_ops.OnnxLog_1(*args, **kwargs)¶: **Version**See Log_1.

OnnxLog_13¶

class skl2onnx.algebra.onnx_ops.OnnxLog_13(*args, **kwargs)¶: **Version**See Log_13.

OnnxLog_6¶

class skl2onnx.algebra.onnx_ops.OnnxLog_6(*args, **kwargs)¶: **Version**See Log_6.

OnnxLoop¶

class skl2onnx.algebra.onnx_ops.OnnxLoop(*args, **kwargs)¶: **Version**See Loop.

OnnxLoop_1¶

class skl2onnx.algebra.onnx_ops.OnnxLoop_1(*args, **kwargs)¶: **Version**See Loop_1.

OnnxLoop_11¶

class skl2onnx.algebra.onnx_ops.OnnxLoop_11(*args, **kwargs)¶: **Version**See Loop_11.

OnnxLoop_13¶

class skl2onnx.algebra.onnx_ops.OnnxLoop_13(*args, **kwargs)¶: **Version**See Loop_13.

OnnxLoop_16¶

class skl2onnx.algebra.onnx_ops.OnnxLoop_16(*args, **kwargs)¶: **Version**See Loop_16.

OnnxLoop_19¶

class skl2onnx.algebra.onnx_ops.OnnxLoop_19(*args, **kwargs)¶: **Version**See Loop_19.

OnnxLoop_21¶

class skl2onnx.algebra.onnx_ops.OnnxLoop_21(*args, **kwargs)¶: **Version**See Loop_21.

OnnxLpNormalization¶

class skl2onnx.algebra.onnx_ops.OnnxLpNormalization(*args, **kwargs)¶: **Version**See LpNormalization.

OnnxLpNormalization_1¶

class skl2onnx.algebra.onnx_ops.OnnxLpNormalization_1(*args, **kwargs)¶: **Version**See LpNormalization_1.

OnnxLpNormalization_22¶

class skl2onnx.algebra.onnx_ops.OnnxLpNormalization_22(*args, **kwargs)¶: **Version**See LpNormalization_22.

OnnxLpPool¶

class skl2onnx.algebra.onnx_ops.OnnxLpPool(*args, **kwargs)¶: **Version**See LpPool.

OnnxLpPool_1¶

class skl2onnx.algebra.onnx_ops.OnnxLpPool_1(*args, **kwargs)¶: **Version**See LpPool_1.

OnnxLpPool_11¶

class skl2onnx.algebra.onnx_ops.OnnxLpPool_11(*args, **kwargs)¶: **Version**See LpPool_11.

OnnxLpPool_18¶

class skl2onnx.algebra.onnx_ops.OnnxLpPool_18(*args, **kwargs)¶: **Version**See LpPool_18.

OnnxLpPool_2¶

class skl2onnx.algebra.onnx_ops.OnnxLpPool_2(*args, **kwargs)¶: **Version**See LpPool_2.

OnnxLpPool_22¶

class skl2onnx.algebra.onnx_ops.OnnxLpPool_22(*args, **kwargs)¶: **Version**See LpPool_22.

OnnxMatMul¶

class skl2onnx.algebra.onnx_ops.OnnxMatMul(*args, **kwargs)¶: **Version**See MatMul.

OnnxMatMulInteger¶

class skl2onnx.algebra.onnx_ops.OnnxMatMulInteger(*args, **kwargs)¶: **Version**See MatMulInteger.

OnnxMatMulInteger_10¶

class skl2onnx.algebra.onnx_ops.OnnxMatMulInteger_10(*args, **kwargs)¶: **Version**See MatMulInteger_10.

OnnxMatMul_1¶

class skl2onnx.algebra.onnx_ops.OnnxMatMul_1(*args, **kwargs)¶: **Version**See MatMul_1.

OnnxMatMul_13¶

class skl2onnx.algebra.onnx_ops.OnnxMatMul_13(*args, **kwargs)¶: **Version**See MatMul_13.

OnnxMatMul_9¶

class skl2onnx.algebra.onnx_ops.OnnxMatMul_9(*args, **kwargs)¶: **Version**See MatMul_9.

OnnxMax¶

class skl2onnx.algebra.onnx_ops.OnnxMax(*args, **kwargs)¶: **Version**See Max.

OnnxMaxPool¶

class skl2onnx.algebra.onnx_ops.OnnxMaxPool(*args, **kwargs)¶: **Version**See MaxPool.

OnnxMaxPool_1¶

class skl2onnx.algebra.onnx_ops.OnnxMaxPool_1(*args, **kwargs)¶: **Version**See MaxPool_1.

OnnxMaxPool_10¶

class skl2onnx.algebra.onnx_ops.OnnxMaxPool_10(*args, **kwargs)¶: **Version**See MaxPool_10.

OnnxMaxPool_11¶

class skl2onnx.algebra.onnx_ops.OnnxMaxPool_11(*args, **kwargs)¶: **Version**See MaxPool_11.

OnnxMaxPool_12¶

class skl2onnx.algebra.onnx_ops.OnnxMaxPool_12(*args, **kwargs)¶: **Version**See MaxPool_12.

OnnxMaxPool_22¶

class skl2onnx.algebra.onnx_ops.OnnxMaxPool_22(*args, **kwargs)¶: **Version**See MaxPool_22.

OnnxMaxPool_8¶

class skl2onnx.algebra.onnx_ops.OnnxMaxPool_8(*args, **kwargs)¶: **Version**See MaxPool_8.

OnnxMaxRoiPool¶

class skl2onnx.algebra.onnx_ops.OnnxMaxRoiPool(*args, **kwargs)¶: **Version**See MaxRoiPool.

OnnxMaxRoiPool_1¶

class skl2onnx.algebra.onnx_ops.OnnxMaxRoiPool_1(*args, **kwargs)¶: **Version**See MaxRoiPool_1.

OnnxMaxRoiPool_22¶

class skl2onnx.algebra.onnx_ops.OnnxMaxRoiPool_22(*args, **kwargs)¶: **Version**See MaxRoiPool_22.

OnnxMaxUnpool¶

class skl2onnx.algebra.onnx_ops.OnnxMaxUnpool(*args, **kwargs)¶: **Version**See MaxUnpool.

OnnxMaxUnpool_11¶

class skl2onnx.algebra.onnx_ops.OnnxMaxUnpool_11(*args, **kwargs)¶: **Version**See MaxUnpool_11.

OnnxMaxUnpool_22¶

class skl2onnx.algebra.onnx_ops.OnnxMaxUnpool_22(*args, **kwargs)¶: **Version**See MaxUnpool_22.

OnnxMaxUnpool_9¶

class skl2onnx.algebra.onnx_ops.OnnxMaxUnpool_9(*args, **kwargs)¶: **Version**See MaxUnpool_9.

OnnxMax_1¶

class skl2onnx.algebra.onnx_ops.OnnxMax_1(*args, **kwargs)¶: **Version**See Max_1.

OnnxMax_12¶

class skl2onnx.algebra.onnx_ops.OnnxMax_12(*args, **kwargs)¶: **Version**See Max_12.

OnnxMax_13¶

class skl2onnx.algebra.onnx_ops.OnnxMax_13(*args, **kwargs)¶: **Version**See Max_13.

OnnxMax_6¶

class skl2onnx.algebra.onnx_ops.OnnxMax_6(*args, **kwargs)¶: **Version**See Max_6.

OnnxMax_8¶

class skl2onnx.algebra.onnx_ops.OnnxMax_8(*args, **kwargs)¶: **Version**See Max_8.

OnnxMean¶

class skl2onnx.algebra.onnx_ops.OnnxMean(*args, **kwargs)¶: **Version**See Mean.

OnnxMeanVarianceNormalization¶

class skl2onnx.algebra.onnx_ops.OnnxMeanVarianceNormalization(*args, **kwargs)¶: **Version**See MeanVarianceNormalization.

OnnxMeanVarianceNormalization_13¶

class skl2onnx.algebra.onnx_ops.OnnxMeanVarianceNormalization_13(*args, **kwargs)¶: **Version**See MeanVarianceNormalization_13.

OnnxMeanVarianceNormalization_9¶

class skl2onnx.algebra.onnx_ops.OnnxMeanVarianceNormalization_9(*args, **kwargs)¶: **Version**See MeanVarianceNormalization_9.

OnnxMean_1¶

class skl2onnx.algebra.onnx_ops.OnnxMean_1(*args, **kwargs)¶: **Version**See Mean_1.

OnnxMean_13¶

class skl2onnx.algebra.onnx_ops.OnnxMean_13(*args, **kwargs)¶: **Version**See Mean_13.

OnnxMean_6¶

class skl2onnx.algebra.onnx_ops.OnnxMean_6(*args, **kwargs)¶: **Version**See Mean_6.

OnnxMean_8¶

class skl2onnx.algebra.onnx_ops.OnnxMean_8(*args, **kwargs)¶: **Version**See Mean_8.

OnnxMelWeightMatrix¶

class skl2onnx.algebra.onnx_ops.OnnxMelWeightMatrix(*args, **kwargs)¶: **Version**See MelWeightMatrix.

OnnxMelWeightMatrix_17¶

class skl2onnx.algebra.onnx_ops.OnnxMelWeightMatrix_17(*args, **kwargs)¶: **Version**See MelWeightMatrix_17.

OnnxMin¶

class skl2onnx.algebra.onnx_ops.OnnxMin(*args, **kwargs)¶: **Version**See Min.

OnnxMin_1¶

class skl2onnx.algebra.onnx_ops.OnnxMin_1(*args, **kwargs)¶: **Version**See Min_1.

OnnxMin_12¶

class skl2onnx.algebra.onnx_ops.OnnxMin_12(*args, **kwargs)¶: **Version**See Min_12.

OnnxMin_13¶

class skl2onnx.algebra.onnx_ops.OnnxMin_13(*args, **kwargs)¶: **Version**See Min_13.

OnnxMin_6¶

class skl2onnx.algebra.onnx_ops.OnnxMin_6(*args, **kwargs)¶: **Version**See Min_6.

OnnxMin_8¶

class skl2onnx.algebra.onnx_ops.OnnxMin_8(*args, **kwargs)¶: **Version**See Min_8.

OnnxMish¶

class skl2onnx.algebra.onnx_ops.OnnxMish(*args, **kwargs)¶: **Version**See Mish.

OnnxMish_18¶

class skl2onnx.algebra.onnx_ops.OnnxMish_18(*args, **kwargs)¶: **Version**See Mish_18.

OnnxMish_22¶

class skl2onnx.algebra.onnx_ops.OnnxMish_22(*args, **kwargs)¶: **Version**See Mish_22.

OnnxMod¶

class skl2onnx.algebra.onnx_ops.OnnxMod(*args, **kwargs)¶: **Version**See Mod.

OnnxMod_10¶

class skl2onnx.algebra.onnx_ops.OnnxMod_10(*args, **kwargs)¶: **Version**See Mod_10.

OnnxMod_13¶

class skl2onnx.algebra.onnx_ops.OnnxMod_13(*args, **kwargs)¶: **Version**See Mod_13.

OnnxMomentum¶

class skl2onnx.algebra.onnx_ops.OnnxMomentum(*args, **kwargs)¶: **Version**See Momentum.

OnnxMomentum_1¶

class skl2onnx.algebra.onnx_ops.OnnxMomentum_1(*args, **kwargs)¶: **Version**See Momentum_1.

OnnxMul¶

class skl2onnx.algebra.onnx_ops.OnnxMul(*args, **kwargs)¶: **Version**See Mul.

OnnxMul_1¶

class skl2onnx.algebra.onnx_ops.OnnxMul_1(*args, **kwargs)¶: **Version**See Mul_1.

OnnxMul_13¶

class skl2onnx.algebra.onnx_ops.OnnxMul_13(*args, **kwargs)¶: **Version**See Mul_13.

OnnxMul_14¶

class skl2onnx.algebra.onnx_ops.OnnxMul_14(*args, **kwargs)¶: **Version**See Mul_14.

OnnxMul_6¶

class skl2onnx.algebra.onnx_ops.OnnxMul_6(*args, **kwargs)¶: **Version**See Mul_6.

OnnxMul_7¶

class skl2onnx.algebra.onnx_ops.OnnxMul_7(*args, **kwargs)¶: **Version**See Mul_7.

OnnxMultinomial¶

class skl2onnx.algebra.onnx_ops.OnnxMultinomial(*args, **kwargs)¶: **Version**See Multinomial.

OnnxMultinomial_22¶

class skl2onnx.algebra.onnx_ops.OnnxMultinomial_22(*args, **kwargs)¶: **Version**See Multinomial_22.

OnnxMultinomial_7¶

class skl2onnx.algebra.onnx_ops.OnnxMultinomial_7(*args, **kwargs)¶: **Version**See Multinomial_7.

OnnxNeg¶

class skl2onnx.algebra.onnx_ops.OnnxNeg(*args, **kwargs)¶: **Version**See Neg.

OnnxNeg_1¶

class skl2onnx.algebra.onnx_ops.OnnxNeg_1(*args, **kwargs)¶: **Version**See Neg_1.

OnnxNeg_13¶

class skl2onnx.algebra.onnx_ops.OnnxNeg_13(*args, **kwargs)¶: **Version**See Neg_13.

OnnxNeg_6¶

class skl2onnx.algebra.onnx_ops.OnnxNeg_6(*args, **kwargs)¶: **Version**See Neg_6.

OnnxNegativeLogLikelihoodLoss¶

class skl2onnx.algebra.onnx_ops.OnnxNegativeLogLikelihoodLoss(*args, **kwargs)¶: **Version**See NegativeLogLikelihoodLoss.

OnnxNegativeLogLikelihoodLoss_12¶

class skl2onnx.algebra.onnx_ops.OnnxNegativeLogLikelihoodLoss_12(*args, **kwargs)¶: **Version**See NegativeLogLikelihoodLoss_12.

OnnxNegativeLogLikelihoodLoss_13¶

class skl2onnx.algebra.onnx_ops.OnnxNegativeLogLikelihoodLoss_13(*args, **kwargs)¶: **Version**See NegativeLogLikelihoodLoss_13.

OnnxNegativeLogLikelihoodLoss_22¶

class skl2onnx.algebra.onnx_ops.OnnxNegativeLogLikelihoodLoss_22(*args, **kwargs)¶: **Version**See NegativeLogLikelihoodLoss_22.

OnnxNonMaxSuppression¶

class skl2onnx.algebra.onnx_ops.OnnxNonMaxSuppression(*args, **kwargs)¶: **Version**See NonMaxSuppression.

OnnxNonMaxSuppression_10¶

class skl2onnx.algebra.onnx_ops.OnnxNonMaxSuppression_10(*args, **kwargs)¶: **Version**See NonMaxSuppression_10.

OnnxNonMaxSuppression_11¶

class skl2onnx.algebra.onnx_ops.OnnxNonMaxSuppression_11(*args, **kwargs)¶: **Version**See NonMaxSuppression_11.

OnnxNonZero¶

class skl2onnx.algebra.onnx_ops.OnnxNonZero(*args, **kwargs)¶: **Version**See NonZero.

OnnxNonZero_13¶

class skl2onnx.algebra.onnx_ops.OnnxNonZero_13(*args, **kwargs)¶: **Version**See NonZero_13.

OnnxNonZero_9¶

class skl2onnx.algebra.onnx_ops.OnnxNonZero_9(*args, **kwargs)¶: **Version**See NonZero_9.

OnnxNormalizer¶

class skl2onnx.algebra.onnx_ops.OnnxNormalizer(*args, **kwargs)¶: **Version**See Normalizer.

OnnxNormalizer_1¶

class skl2onnx.algebra.onnx_ops.OnnxNormalizer_1(*args, **kwargs)¶: **Version**See Normalizer_1.

OnnxNot¶

class skl2onnx.algebra.onnx_ops.OnnxNot(*args, **kwargs)¶: **Version**See Not.

OnnxNot_1¶

class skl2onnx.algebra.onnx_ops.OnnxNot_1(*args, **kwargs)¶: **Version**See Not_1.

OnnxOneHot¶

class skl2onnx.algebra.onnx_ops.OnnxOneHot(*args, **kwargs)¶: **Version**See OneHot.

OnnxOneHotEncoder¶

class skl2onnx.algebra.onnx_ops.OnnxOneHotEncoder(*args, **kwargs)¶: **Version**See OneHotEncoder.

OnnxOneHotEncoder_1¶

class skl2onnx.algebra.onnx_ops.OnnxOneHotEncoder_1(*args, **kwargs)¶: **Version**See OneHotEncoder_1.

OnnxOneHot_11¶

class skl2onnx.algebra.onnx_ops.OnnxOneHot_11(*args, **kwargs)¶: **Version**See OneHot_11.

OnnxOneHot_9¶

class skl2onnx.algebra.onnx_ops.OnnxOneHot_9(*args, **kwargs)¶: **Version**See OneHot_9.

OnnxOptional¶

class skl2onnx.algebra.onnx_ops.OnnxOptional(*args, **kwargs)¶: **Version**See Optional.

OnnxOptionalGetElement¶

class skl2onnx.algebra.onnx_ops.OnnxOptionalGetElement(*args, **kwargs)¶: **Version**See OptionalGetElement.

OnnxOptionalGetElement_15¶

class skl2onnx.algebra.onnx_ops.OnnxOptionalGetElement_15(*args, **kwargs)¶: **Version**See OptionalGetElement_15.

OnnxOptionalGetElement_18¶

class skl2onnx.algebra.onnx_ops.OnnxOptionalGetElement_18(*args, **kwargs)¶: **Version**See OptionalGetElement_18.

OnnxOptionalHasElement¶

class skl2onnx.algebra.onnx_ops.OnnxOptionalHasElement(*args, **kwargs)¶: **Version**See OptionalHasElement.

OnnxOptionalHasElement_15¶

class skl2onnx.algebra.onnx_ops.OnnxOptionalHasElement_15(*args, **kwargs)¶: **Version**See OptionalHasElement_15.

OnnxOptionalHasElement_18¶

class skl2onnx.algebra.onnx_ops.OnnxOptionalHasElement_18(*args, **kwargs)¶: **Version**See OptionalHasElement_18.

OnnxOptional_15¶

class skl2onnx.algebra.onnx_ops.OnnxOptional_15(*args, **kwargs)¶: **Version**See Optional_15.

OnnxOr¶

class skl2onnx.algebra.onnx_ops.OnnxOr(*args, **kwargs)¶: **Version**See Or.

OnnxOr_1¶

class skl2onnx.algebra.onnx_ops.OnnxOr_1(*args, **kwargs)¶: **Version**See Or_1.

OnnxOr_7¶

class skl2onnx.algebra.onnx_ops.OnnxOr_7(*args, **kwargs)¶: **Version**See Or_7.

OnnxPRelu¶

class skl2onnx.algebra.onnx_ops.OnnxPRelu(*args, **kwargs)¶: **Version**See PRelu.

OnnxPRelu_1¶

class skl2onnx.algebra.onnx_ops.OnnxPRelu_1(*args, **kwargs)¶: **Version**See PRelu_1.

OnnxPRelu_16¶

class skl2onnx.algebra.onnx_ops.OnnxPRelu_16(*args, **kwargs)¶: **Version**See PRelu_16.

OnnxPRelu_6¶

class skl2onnx.algebra.onnx_ops.OnnxPRelu_6(*args, **kwargs)¶: **Version**See PRelu_6.

OnnxPRelu_7¶

class skl2onnx.algebra.onnx_ops.OnnxPRelu_7(*args, **kwargs)¶: **Version**See PRelu_7.

OnnxPRelu_9¶

class skl2onnx.algebra.onnx_ops.OnnxPRelu_9(*args, **kwargs)¶: **Version**See PRelu_9.

OnnxPad¶

class skl2onnx.algebra.onnx_ops.OnnxPad(*args, **kwargs)¶: **Version**See Pad.

OnnxPad_1¶

class skl2onnx.algebra.onnx_ops.OnnxPad_1(*args, **kwargs)¶: **Version**See Pad_1.

OnnxPad_11¶

class skl2onnx.algebra.onnx_ops.OnnxPad_11(*args, **kwargs)¶: **Version**See Pad_11.

OnnxPad_13¶

class skl2onnx.algebra.onnx_ops.OnnxPad_13(*args, **kwargs)¶: **Version**See Pad_13.

OnnxPad_18¶

class skl2onnx.algebra.onnx_ops.OnnxPad_18(*args, **kwargs)¶: **Version**See Pad_18.

OnnxPad_19¶

class skl2onnx.algebra.onnx_ops.OnnxPad_19(*args, **kwargs)¶: **Version**See Pad_19.

OnnxPad_2¶

class skl2onnx.algebra.onnx_ops.OnnxPad_2(*args, **kwargs)¶: **Version**See Pad_2.

OnnxPad_21¶

class skl2onnx.algebra.onnx_ops.OnnxPad_21(*args, **kwargs)¶: **Version**See Pad_21.

OnnxPow¶

class skl2onnx.algebra.onnx_ops.OnnxPow(*args, **kwargs)¶: **Version**See Pow.

OnnxPow_1¶

class skl2onnx.algebra.onnx_ops.OnnxPow_1(*args, **kwargs)¶: **Version**See Pow_1.

OnnxPow_12¶

class skl2onnx.algebra.onnx_ops.OnnxPow_12(*args, **kwargs)¶: **Version**See Pow_12.

OnnxPow_13¶

class skl2onnx.algebra.onnx_ops.OnnxPow_13(*args, **kwargs)¶: **Version**See Pow_13.

OnnxPow_15¶

class skl2onnx.algebra.onnx_ops.OnnxPow_15(*args, **kwargs)¶: **Version**See Pow_15.

OnnxPow_7¶

class skl2onnx.algebra.onnx_ops.OnnxPow_7(*args, **kwargs)¶: **Version**See Pow_7.

OnnxQLinearConv¶

class skl2onnx.algebra.onnx_ops.OnnxQLinearConv(*args, **kwargs)¶: **Version**See QLinearConv.

OnnxQLinearConv_10¶

class skl2onnx.algebra.onnx_ops.OnnxQLinearConv_10(*args, **kwargs)¶: **Version**See QLinearConv_10.

OnnxQLinearMatMul¶

class skl2onnx.algebra.onnx_ops.OnnxQLinearMatMul(*args, **kwargs)¶: **Version**See QLinearMatMul.

OnnxQLinearMatMul_10¶

class skl2onnx.algebra.onnx_ops.OnnxQLinearMatMul_10(*args, **kwargs)¶: **Version**See QLinearMatMul_10.

OnnxQLinearMatMul_21¶

class skl2onnx.algebra.onnx_ops.OnnxQLinearMatMul_21(*args, **kwargs)¶: **Version**See QLinearMatMul_21.

OnnxQuantizeLinear¶

class skl2onnx.algebra.onnx_ops.OnnxQuantizeLinear(*args, **kwargs)¶: **Version**See QuantizeLinear.

OnnxQuantizeLinear_10¶

class skl2onnx.algebra.onnx_ops.OnnxQuantizeLinear_10(*args, **kwargs)¶: **Version**See QuantizeLinear_10.

OnnxQuantizeLinear_13¶

class skl2onnx.algebra.onnx_ops.OnnxQuantizeLinear_13(*args, **kwargs)¶: **Version**See QuantizeLinear_13.

OnnxQuantizeLinear_19¶

class skl2onnx.algebra.onnx_ops.OnnxQuantizeLinear_19(*args, **kwargs)¶: **Version**See QuantizeLinear_19.

OnnxQuantizeLinear_21¶

class skl2onnx.algebra.onnx_ops.OnnxQuantizeLinear_21(*args, **kwargs)¶: **Version**See QuantizeLinear_21.

OnnxRNN¶

class skl2onnx.algebra.onnx_ops.OnnxRNN(*args, **kwargs)¶: **Version**See RNN.

OnnxRNN_1¶

class skl2onnx.algebra.onnx_ops.OnnxRNN_1(*args, **kwargs)¶: **Version**See RNN_1.

OnnxRNN_14¶

class skl2onnx.algebra.onnx_ops.OnnxRNN_14(*args, **kwargs)¶: **Version**See RNN_14.

OnnxRNN_22¶

class skl2onnx.algebra.onnx_ops.OnnxRNN_22(*args, **kwargs)¶: **Version**See RNN_22.

OnnxRNN_7¶

class skl2onnx.algebra.onnx_ops.OnnxRNN_7(*args, **kwargs)¶: **Version**See RNN_7.

OnnxRandomNormal¶

class skl2onnx.algebra.onnx_ops.OnnxRandomNormal(*args, **kwargs)¶: **Version**See RandomNormal.

OnnxRandomNormalLike¶

class skl2onnx.algebra.onnx_ops.OnnxRandomNormalLike(*args, **kwargs)¶: **Version**See RandomNormalLike.

OnnxRandomNormalLike_1¶

class skl2onnx.algebra.onnx_ops.OnnxRandomNormalLike_1(*args, **kwargs)¶: **Version**See RandomNormalLike_1.

OnnxRandomNormalLike_22¶

class skl2onnx.algebra.onnx_ops.OnnxRandomNormalLike_22(*args, **kwargs)¶: **Version**See RandomNormalLike_22.

OnnxRandomNormal_1¶

class skl2onnx.algebra.onnx_ops.OnnxRandomNormal_1(*args, **kwargs)¶: **Version**See RandomNormal_1.

OnnxRandomNormal_22¶

class skl2onnx.algebra.onnx_ops.OnnxRandomNormal_22(*args, **kwargs)¶: **Version**See RandomNormal_22.

OnnxRandomUniform¶

class skl2onnx.algebra.onnx_ops.OnnxRandomUniform(*args, **kwargs)¶: **Version**See RandomUniform.

OnnxRandomUniformLike¶

class skl2onnx.algebra.onnx_ops.OnnxRandomUniformLike(*args, **kwargs)¶: **Version**See RandomUniformLike.

OnnxRandomUniformLike_1¶

class skl2onnx.algebra.onnx_ops.OnnxRandomUniformLike_1(*args, **kwargs)¶: **Version**See RandomUniformLike_1.

OnnxRandomUniformLike_22¶

class skl2onnx.algebra.onnx_ops.OnnxRandomUniformLike_22(*args, **kwargs)¶: **Version**See RandomUniformLike_22.

OnnxRandomUniform_1¶

class skl2onnx.algebra.onnx_ops.OnnxRandomUniform_1(*args, **kwargs)¶: **Version**See RandomUniform_1.

OnnxRandomUniform_22¶

class skl2onnx.algebra.onnx_ops.OnnxRandomUniform_22(*args, **kwargs)¶: **Version**See RandomUniform_22.

OnnxRange¶

class skl2onnx.algebra.onnx_ops.OnnxRange(*args, **kwargs)¶: **Version**See Range.

OnnxRange_11¶

class skl2onnx.algebra.onnx_ops.OnnxRange_11(*args, **kwargs)¶: **Version**See Range_11.

OnnxReciprocal¶

class skl2onnx.algebra.onnx_ops.OnnxReciprocal(*args, **kwargs)¶: **Version**See Reciprocal.

OnnxReciprocal_1¶

class skl2onnx.algebra.onnx_ops.OnnxReciprocal_1(*args, **kwargs)¶: **Version**See Reciprocal_1.

OnnxReciprocal_13¶

class skl2onnx.algebra.onnx_ops.OnnxReciprocal_13(*args, **kwargs)¶: **Version**See Reciprocal_13.

OnnxReciprocal_6¶

class skl2onnx.algebra.onnx_ops.OnnxReciprocal_6(*args, **kwargs)¶: **Version**See Reciprocal_6.

OnnxReduceL1¶

class skl2onnx.algebra.onnx_ops.OnnxReduceL1(*args, **kwargs)¶: **Version**See ReduceL1.

OnnxReduceL1_1¶

class skl2onnx.algebra.onnx_ops.OnnxReduceL1_1(*args, **kwargs)¶: **Version**See ReduceL1_1.

OnnxReduceL1_11¶

class skl2onnx.algebra.onnx_ops.OnnxReduceL1_11(*args, **kwargs)¶: **Version**See ReduceL1_11.

OnnxReduceL1_13¶

class skl2onnx.algebra.onnx_ops.OnnxReduceL1_13(*args, **kwargs)¶: **Version**See ReduceL1_13.

OnnxReduceL1_18¶

class skl2onnx.algebra.onnx_ops.OnnxReduceL1_18(*args, **kwargs)¶: **Version**See ReduceL1_18.

OnnxReduceL2¶

class skl2onnx.algebra.onnx_ops.OnnxReduceL2(*args, **kwargs)¶: **Version**See ReduceL2.

OnnxReduceL2_1¶

class skl2onnx.algebra.onnx_ops.OnnxReduceL2_1(*args, **kwargs)¶: **Version**See ReduceL2_1.

OnnxReduceL2_11¶

class skl2onnx.algebra.onnx_ops.OnnxReduceL2_11(*args, **kwargs)¶: **Version**See ReduceL2_11.

OnnxReduceL2_13¶

class skl2onnx.algebra.onnx_ops.OnnxReduceL2_13(*args, **kwargs)¶: **Version**See ReduceL2_13.

OnnxReduceL2_18¶

class skl2onnx.algebra.onnx_ops.OnnxReduceL2_18(*args, **kwargs)¶: **Version**See ReduceL2_18.

OnnxReduceLogSum¶

class skl2onnx.algebra.onnx_ops.OnnxReduceLogSum(*args, **kwargs)¶: **Version**See ReduceLogSum.

OnnxReduceLogSumExp¶

class skl2onnx.algebra.onnx_ops.OnnxReduceLogSumExp(*args, **kwargs)¶: **Version**See ReduceLogSumExp.

OnnxReduceLogSumExp_1¶

class skl2onnx.algebra.onnx_ops.OnnxReduceLogSumExp_1(*args, **kwargs)¶: **Version**See ReduceLogSumExp_1.

OnnxReduceLogSumExp_11¶

class skl2onnx.algebra.onnx_ops.OnnxReduceLogSumExp_11(*args, **kwargs)¶: **Version**See ReduceLogSumExp_11.

OnnxReduceLogSumExp_13¶

class skl2onnx.algebra.onnx_ops.OnnxReduceLogSumExp_13(*args, **kwargs)¶: **Version**See ReduceLogSumExp_13.

OnnxReduceLogSumExp_18¶

class skl2onnx.algebra.onnx_ops.OnnxReduceLogSumExp_18(*args, **kwargs)¶: **Version**See ReduceLogSumExp_18.

OnnxReduceLogSum_1¶

class skl2onnx.algebra.onnx_ops.OnnxReduceLogSum_1(*args, **kwargs)¶: **Version**See ReduceLogSum_1.

OnnxReduceLogSum_11¶

class skl2onnx.algebra.onnx_ops.OnnxReduceLogSum_11(*args, **kwargs)¶: **Version**See ReduceLogSum_11.

OnnxReduceLogSum_13¶

class skl2onnx.algebra.onnx_ops.OnnxReduceLogSum_13(*args, **kwargs)¶: **Version**See ReduceLogSum_13.

OnnxReduceLogSum_18¶

class skl2onnx.algebra.onnx_ops.OnnxReduceLogSum_18(*args, **kwargs)¶: **Version**See ReduceLogSum_18.

OnnxReduceMax¶

class skl2onnx.algebra.onnx_ops.OnnxReduceMax(*args, **kwargs)¶: **Version**See ReduceMax.

OnnxReduceMax_1¶

class skl2onnx.algebra.onnx_ops.OnnxReduceMax_1(*args, **kwargs)¶: **Version**See ReduceMax_1.

OnnxReduceMax_11¶

class skl2onnx.algebra.onnx_ops.OnnxReduceMax_11(*args, **kwargs)¶: **Version**See ReduceMax_11.

OnnxReduceMax_12¶

class skl2onnx.algebra.onnx_ops.OnnxReduceMax_12(*args, **kwargs)¶: **Version**See ReduceMax_12.

OnnxReduceMax_13¶

class skl2onnx.algebra.onnx_ops.OnnxReduceMax_13(*args, **kwargs)¶: **Version**See ReduceMax_13.

OnnxReduceMax_18¶

class skl2onnx.algebra.onnx_ops.OnnxReduceMax_18(*args, **kwargs)¶: **Version**See ReduceMax_18.

OnnxReduceMax_20¶

class skl2onnx.algebra.onnx_ops.OnnxReduceMax_20(*args, **kwargs)¶: **Version**See ReduceMax_20.

OnnxReduceMean¶

class skl2onnx.algebra.onnx_ops.OnnxReduceMean(*args, **kwargs)¶: **Version**See ReduceMean.

OnnxReduceMean_1¶

class skl2onnx.algebra.onnx_ops.OnnxReduceMean_1(*args, **kwargs)¶: **Version**See ReduceMean_1.

OnnxReduceMean_11¶

class skl2onnx.algebra.onnx_ops.OnnxReduceMean_11(*args, **kwargs)¶: **Version**See ReduceMean_11.

OnnxReduceMean_13¶

class skl2onnx.algebra.onnx_ops.OnnxReduceMean_13(*args, **kwargs)¶: **Version**See ReduceMean_13.

OnnxReduceMean_18¶

class skl2onnx.algebra.onnx_ops.OnnxReduceMean_18(*args, **kwargs)¶: **Version**See ReduceMean_18.

OnnxReduceMin¶

class skl2onnx.algebra.onnx_ops.OnnxReduceMin(*args, **kwargs)¶: **Version**See ReduceMin.

OnnxReduceMin_1¶

class skl2onnx.algebra.onnx_ops.OnnxReduceMin_1(*args, **kwargs)¶: **Version**See ReduceMin_1.

OnnxReduceMin_11¶

class skl2onnx.algebra.onnx_ops.OnnxReduceMin_11(*args, **kwargs)¶: **Version**See ReduceMin_11.

OnnxReduceMin_12¶

class skl2onnx.algebra.onnx_ops.OnnxReduceMin_12(*args, **kwargs)¶: **Version**See ReduceMin_12.

OnnxReduceMin_13¶

class skl2onnx.algebra.onnx_ops.OnnxReduceMin_13(*args, **kwargs)¶: **Version**See ReduceMin_13.

OnnxReduceMin_18¶

class skl2onnx.algebra.onnx_ops.OnnxReduceMin_18(*args, **kwargs)¶: **Version**See ReduceMin_18.

OnnxReduceMin_20¶

class skl2onnx.algebra.onnx_ops.OnnxReduceMin_20(*args, **kwargs)¶: **Version**See ReduceMin_20.

OnnxReduceProd¶

class skl2onnx.algebra.onnx_ops.OnnxReduceProd(*args, **kwargs)¶: **Version**See ReduceProd.

OnnxReduceProd_1¶

class skl2onnx.algebra.onnx_ops.OnnxReduceProd_1(*args, **kwargs)¶: **Version**See ReduceProd_1.

OnnxReduceProd_11¶

class skl2onnx.algebra.onnx_ops.OnnxReduceProd_11(*args, **kwargs)¶: **Version**See ReduceProd_11.

OnnxReduceProd_13¶

class skl2onnx.algebra.onnx_ops.OnnxReduceProd_13(*args, **kwargs)¶: **Version**See ReduceProd_13.

OnnxReduceProd_18¶

class skl2onnx.algebra.onnx_ops.OnnxReduceProd_18(*args, **kwargs)¶: **Version**See ReduceProd_18.

OnnxReduceSum¶

class skl2onnx.algebra.onnx_ops.OnnxReduceSum(*args, **kwargs)¶: **Version**See ReduceSum.

OnnxReduceSumSquare¶

class skl2onnx.algebra.onnx_ops.OnnxReduceSumSquare(*args, **kwargs)¶: **Version**See ReduceSumSquare.

OnnxReduceSumSquare_1¶

class skl2onnx.algebra.onnx_ops.OnnxReduceSumSquare_1(*args, **kwargs)¶: **Version**See ReduceSumSquare_1.

OnnxReduceSumSquare_11¶

class skl2onnx.algebra.onnx_ops.OnnxReduceSumSquare_11(*args, **kwargs)¶: **Version**See ReduceSumSquare_11.

OnnxReduceSumSquare_13¶

class skl2onnx.algebra.onnx_ops.OnnxReduceSumSquare_13(*args, **kwargs)¶: **Version**See ReduceSumSquare_13.

OnnxReduceSumSquare_18¶

class skl2onnx.algebra.onnx_ops.OnnxReduceSumSquare_18(*args, **kwargs)¶: **Version**See ReduceSumSquare_18.

OnnxReduceSum_1¶

class skl2onnx.algebra.onnx_ops.OnnxReduceSum_1(*args, **kwargs)¶: **Version**See ReduceSum_1.

OnnxReduceSum_11¶

class skl2onnx.algebra.onnx_ops.OnnxReduceSum_11(*args, **kwargs)¶: **Version**See ReduceSum_11.

OnnxReduceSum_13¶

class skl2onnx.algebra.onnx_ops.OnnxReduceSum_13(*args, **kwargs)¶: **Version**See ReduceSum_13.

OnnxRegexFullMatch¶

class skl2onnx.algebra.onnx_ops.OnnxRegexFullMatch(*args, **kwargs)¶: **Version**See RegexFullMatch.

OnnxRegexFullMatch_20¶

class skl2onnx.algebra.onnx_ops.OnnxRegexFullMatch_20(*args, **kwargs)¶: **Version**See RegexFullMatch_20.

OnnxRelu¶

class skl2onnx.algebra.onnx_ops.OnnxRelu(*args, **kwargs)¶: **Version**See Relu.

OnnxRelu_1¶

class skl2onnx.algebra.onnx_ops.OnnxRelu_1(*args, **kwargs)¶: **Version**See Relu_1.

OnnxRelu_13¶

class skl2onnx.algebra.onnx_ops.OnnxRelu_13(*args, **kwargs)¶: **Version**See Relu_13.

OnnxRelu_14¶

class skl2onnx.algebra.onnx_ops.OnnxRelu_14(*args, **kwargs)¶: **Version**See Relu_14.

OnnxRelu_6¶

class skl2onnx.algebra.onnx_ops.OnnxRelu_6(*args, **kwargs)¶: **Version**See Relu_6.

OnnxReshape¶

class skl2onnx.algebra.onnx_ops.OnnxReshape(*args, **kwargs)¶: **Version**See Reshape.

OnnxReshape_1¶

class skl2onnx.algebra.onnx_ops.OnnxReshape_1(*args, **kwargs)¶: **Version**See Reshape_1.

OnnxReshape_13¶

class skl2onnx.algebra.onnx_ops.OnnxReshape_13(*args, **kwargs)¶: **Version**See Reshape_13.

OnnxReshape_14¶

class skl2onnx.algebra.onnx_ops.OnnxReshape_14(*args, **kwargs)¶: **Version**See Reshape_14.

OnnxReshape_19¶

class skl2onnx.algebra.onnx_ops.OnnxReshape_19(*args, **kwargs)¶: **Version**See Reshape_19.

OnnxReshape_21¶

class skl2onnx.algebra.onnx_ops.OnnxReshape_21(*args, **kwargs)¶: **Version**See Reshape_21.

OnnxReshape_5¶

class skl2onnx.algebra.onnx_ops.OnnxReshape_5(*args, **kwargs)¶: **Version**See Reshape_5.

OnnxResize¶

class skl2onnx.algebra.onnx_ops.OnnxResize(*args, **kwargs)¶: **Version**See Resize.

OnnxResize_10¶

class skl2onnx.algebra.onnx_ops.OnnxResize_10(*args, **kwargs)¶: **Version**See Resize_10.

OnnxResize_11¶

class skl2onnx.algebra.onnx_ops.OnnxResize_11(*args, **kwargs)¶: **Version**See Resize_11.

OnnxResize_13¶

class skl2onnx.algebra.onnx_ops.OnnxResize_13(*args, **kwargs)¶: **Version**See Resize_13.

OnnxResize_18¶

class skl2onnx.algebra.onnx_ops.OnnxResize_18(*args, **kwargs)¶: **Version**See Resize_18.

OnnxResize_19¶

class skl2onnx.algebra.onnx_ops.OnnxResize_19(*args, **kwargs)¶: **Version**See Resize_19.

OnnxReverseSequence¶

class skl2onnx.algebra.onnx_ops.OnnxReverseSequence(*args, **kwargs)¶: **Version**See ReverseSequence.

OnnxReverseSequence_10¶

class skl2onnx.algebra.onnx_ops.OnnxReverseSequence_10(*args, **kwargs)¶: **Version**See ReverseSequence_10.

OnnxRoiAlign¶

class skl2onnx.algebra.onnx_ops.OnnxRoiAlign(*args, **kwargs)¶: **Version**See RoiAlign.

OnnxRoiAlign_10¶

class skl2onnx.algebra.onnx_ops.OnnxRoiAlign_10(*args, **kwargs)¶: **Version**See RoiAlign_10.

OnnxRoiAlign_16¶

class skl2onnx.algebra.onnx_ops.OnnxRoiAlign_16(*args, **kwargs)¶: **Version**See RoiAlign_16.

OnnxRoiAlign_22¶

class skl2onnx.algebra.onnx_ops.OnnxRoiAlign_22(*args, **kwargs)¶: **Version**See RoiAlign_22.

OnnxRound¶

class skl2onnx.algebra.onnx_ops.OnnxRound(*args, **kwargs)¶: **Version**See Round.

OnnxRound_11¶

class skl2onnx.algebra.onnx_ops.OnnxRound_11(*args, **kwargs)¶: **Version**See Round_11.

OnnxRound_22¶

class skl2onnx.algebra.onnx_ops.OnnxRound_22(*args, **kwargs)¶: **Version**See Round_22.

OnnxSTFT¶

class skl2onnx.algebra.onnx_ops.OnnxSTFT(*args, **kwargs)¶: **Version**See STFT.

OnnxSTFT_17¶

class skl2onnx.algebra.onnx_ops.OnnxSTFT_17(*args, **kwargs)¶: **Version**See STFT_17.

OnnxSVMClassifier¶

class skl2onnx.algebra.onnx_ops.OnnxSVMClassifier(*args, **kwargs)¶: **Version**See SVMClassifier.

OnnxSVMClassifier_1¶

class skl2onnx.algebra.onnx_ops.OnnxSVMClassifier_1(*args, **kwargs)¶: **Version**See SVMClassifier_1.

OnnxSVMRegressor¶

class skl2onnx.algebra.onnx_ops.OnnxSVMRegressor(*args, **kwargs)¶: **Version**See SVMRegressor.

OnnxSVMRegressor_1¶

class skl2onnx.algebra.onnx_ops.OnnxSVMRegressor_1(*args, **kwargs)¶: **Version**See SVMRegressor_1.

OnnxScaler¶

class skl2onnx.algebra.onnx_ops.OnnxScaler(*args, **kwargs)¶: **Version**See Scaler.

OnnxScaler_1¶

class skl2onnx.algebra.onnx_ops.OnnxScaler_1(*args, **kwargs)¶: **Version**See Scaler_1.

OnnxScan¶

class skl2onnx.algebra.onnx_ops.OnnxScan(*args, **kwargs)¶: **Version**See Scan.

OnnxScan_11¶

class skl2onnx.algebra.onnx_ops.OnnxScan_11(*args, **kwargs)¶: **Version**See Scan_11.

OnnxScan_16¶

class skl2onnx.algebra.onnx_ops.OnnxScan_16(*args, **kwargs)¶: **Version**See Scan_16.

OnnxScan_19¶

class skl2onnx.algebra.onnx_ops.OnnxScan_19(*args, **kwargs)¶: **Version**See Scan_19.

OnnxScan_21¶

class skl2onnx.algebra.onnx_ops.OnnxScan_21(*args, **kwargs)¶: **Version**See Scan_21.

OnnxScan_8¶

class skl2onnx.algebra.onnx_ops.OnnxScan_8(*args, **kwargs)¶: **Version**See Scan_8.

OnnxScan_9¶

class skl2onnx.algebra.onnx_ops.OnnxScan_9(*args, **kwargs)¶: **Version**See Scan_9.

OnnxScatter¶

class skl2onnx.algebra.onnx_ops.OnnxScatter(*args, **kwargs)¶: **Version**See Scatter.

OnnxScatterElements¶

class skl2onnx.algebra.onnx_ops.OnnxScatterElements(*args, **kwargs)¶: **Version**See ScatterElements.

OnnxScatterElements_11¶

class skl2onnx.algebra.onnx_ops.OnnxScatterElements_11(*args, **kwargs)¶: **Version**See ScatterElements_11.

OnnxScatterElements_13¶

class skl2onnx.algebra.onnx_ops.OnnxScatterElements_13(*args, **kwargs)¶: **Version**See ScatterElements_13.

OnnxScatterElements_16¶

class skl2onnx.algebra.onnx_ops.OnnxScatterElements_16(*args, **kwargs)¶: **Version**See ScatterElements_16.

OnnxScatterElements_18¶

class skl2onnx.algebra.onnx_ops.OnnxScatterElements_18(*args, **kwargs)¶: **Version**See ScatterElements_18.

OnnxScatterND¶

class skl2onnx.algebra.onnx_ops.OnnxScatterND(*args, **kwargs)¶: **Version**See ScatterND.

OnnxScatterND_11¶

class skl2onnx.algebra.onnx_ops.OnnxScatterND_11(*args, **kwargs)¶: **Version**See ScatterND_11.

OnnxScatterND_13¶

class skl2onnx.algebra.onnx_ops.OnnxScatterND_13(*args, **kwargs)¶: **Version**See ScatterND_13.

OnnxScatterND_16¶

class skl2onnx.algebra.onnx_ops.OnnxScatterND_16(*args, **kwargs)¶: **Version**See ScatterND_16.

OnnxScatterND_18¶

class skl2onnx.algebra.onnx_ops.OnnxScatterND_18(*args, **kwargs)¶: **Version**See ScatterND_18.

OnnxScatter_11¶

class skl2onnx.algebra.onnx_ops.OnnxScatter_11(*args, **kwargs)¶: **Version**See Scatter_11.

OnnxScatter_9¶

class skl2onnx.algebra.onnx_ops.OnnxScatter_9(*args, **kwargs)¶: **Version**See Scatter_9.

OnnxSelu¶

class skl2onnx.algebra.onnx_ops.OnnxSelu(*args, **kwargs)¶: **Version**See Selu.

OnnxSelu_1¶

class skl2onnx.algebra.onnx_ops.OnnxSelu_1(*args, **kwargs)¶: **Version**See Selu_1.

OnnxSelu_22¶

class skl2onnx.algebra.onnx_ops.OnnxSelu_22(*args, **kwargs)¶: **Version**See Selu_22.

OnnxSelu_6¶

class skl2onnx.algebra.onnx_ops.OnnxSelu_6(*args, **kwargs)¶: **Version**See Selu_6.

OnnxSequenceAt¶

class skl2onnx.algebra.onnx_ops.OnnxSequenceAt(*args, **kwargs)¶: **Version**See SequenceAt.

OnnxSequenceAt_11¶

class skl2onnx.algebra.onnx_ops.OnnxSequenceAt_11(*args, **kwargs)¶: **Version**See SequenceAt_11.

OnnxSequenceConstruct¶

class skl2onnx.algebra.onnx_ops.OnnxSequenceConstruct(*args, **kwargs)¶: **Version**See SequenceConstruct.

OnnxSequenceConstruct_11¶

class skl2onnx.algebra.onnx_ops.OnnxSequenceConstruct_11(*args, **kwargs)¶: **Version**See SequenceConstruct_11.

OnnxSequenceEmpty¶

class skl2onnx.algebra.onnx_ops.OnnxSequenceEmpty(*args, **kwargs)¶: **Version**See SequenceEmpty.

OnnxSequenceEmpty_11¶

class skl2onnx.algebra.onnx_ops.OnnxSequenceEmpty_11(*args, **kwargs)¶: **Version**See SequenceEmpty_11.

OnnxSequenceErase¶

class skl2onnx.algebra.onnx_ops.OnnxSequenceErase(*args, **kwargs)¶: **Version**See SequenceErase.

OnnxSequenceErase_11¶

class skl2onnx.algebra.onnx_ops.OnnxSequenceErase_11(*args, **kwargs)¶: **Version**See SequenceErase_11.

OnnxSequenceInsert¶

class skl2onnx.algebra.onnx_ops.OnnxSequenceInsert(*args, **kwargs)¶: **Version**See SequenceInsert.

OnnxSequenceInsert_11¶

class skl2onnx.algebra.onnx_ops.OnnxSequenceInsert_11(*args, **kwargs)¶: **Version**See SequenceInsert_11.

OnnxSequenceLength¶

class skl2onnx.algebra.onnx_ops.OnnxSequenceLength(*args, **kwargs)¶: **Version**See SequenceLength.

OnnxSequenceLength_11¶

class skl2onnx.algebra.onnx_ops.OnnxSequenceLength_11(*args, **kwargs)¶: **Version**See SequenceLength_11.

OnnxSequenceMap¶

class skl2onnx.algebra.onnx_ops.OnnxSequenceMap(*args, **kwargs)¶: **Version**See SequenceMap.

OnnxSequenceMap_17¶

class skl2onnx.algebra.onnx_ops.OnnxSequenceMap_17(*args, **kwargs)¶: **Version**See SequenceMap_17.

OnnxShape¶

class skl2onnx.algebra.onnx_ops.OnnxShape(*args, **kwargs)¶: **Version**See Shape.

OnnxShape_1¶

class skl2onnx.algebra.onnx_ops.OnnxShape_1(*args, **kwargs)¶: **Version**See Shape_1.

OnnxShape_13¶

class skl2onnx.algebra.onnx_ops.OnnxShape_13(*args, **kwargs)¶: **Version**See Shape_13.

OnnxShape_15¶

class skl2onnx.algebra.onnx_ops.OnnxShape_15(*args, **kwargs)¶: **Version**See Shape_15.

OnnxShape_19¶

class skl2onnx.algebra.onnx_ops.OnnxShape_19(*args, **kwargs)¶: **Version**See Shape_19.

OnnxShape_21¶

class skl2onnx.algebra.onnx_ops.OnnxShape_21(*args, **kwargs)¶: **Version**See Shape_21.

OnnxShrink¶

class skl2onnx.algebra.onnx_ops.OnnxShrink(*args, **kwargs)¶: **Version**See Shrink.

OnnxShrink_9¶

class skl2onnx.algebra.onnx_ops.OnnxShrink_9(*args, **kwargs)¶: **Version**See Shrink_9.

OnnxSigmoid¶

class skl2onnx.algebra.onnx_ops.OnnxSigmoid(*args, **kwargs)¶: **Version**See Sigmoid.

OnnxSigmoid_1¶

class skl2onnx.algebra.onnx_ops.OnnxSigmoid_1(*args, **kwargs)¶: **Version**See Sigmoid_1.

OnnxSigmoid_13¶

class skl2onnx.algebra.onnx_ops.OnnxSigmoid_13(*args, **kwargs)¶: **Version**See Sigmoid_13.

OnnxSigmoid_6¶

class skl2onnx.algebra.onnx_ops.OnnxSigmoid_6(*args, **kwargs)¶: **Version**See Sigmoid_6.

OnnxSign¶

class skl2onnx.algebra.onnx_ops.OnnxSign(*args, **kwargs)¶: **Version**See Sign.

OnnxSign_13¶

class skl2onnx.algebra.onnx_ops.OnnxSign_13(*args, **kwargs)¶: **Version**See Sign_13.

OnnxSign_9¶

class skl2onnx.algebra.onnx_ops.OnnxSign_9(*args, **kwargs)¶: **Version**See Sign_9.

OnnxSin¶

class skl2onnx.algebra.onnx_ops.OnnxSin(*args, **kwargs)¶: **Version**See Sin.

OnnxSin_22¶

class skl2onnx.algebra.onnx_ops.OnnxSin_22(*args, **kwargs)¶: **Version**See Sin_22.

OnnxSin_7¶

class skl2onnx.algebra.onnx_ops.OnnxSin_7(*args, **kwargs)¶: **Version**See Sin_7.

OnnxSinh¶

class skl2onnx.algebra.onnx_ops.OnnxSinh(*args, **kwargs)¶: **Version**See Sinh.

OnnxSinh_22¶

class skl2onnx.algebra.onnx_ops.OnnxSinh_22(*args, **kwargs)¶: **Version**See Sinh_22.

OnnxSinh_9¶

class skl2onnx.algebra.onnx_ops.OnnxSinh_9(*args, **kwargs)¶: **Version**See Sinh_9.

OnnxSize¶

class skl2onnx.algebra.onnx_ops.OnnxSize(*args, **kwargs)¶: **Version**See Size.

OnnxSize_1¶

class skl2onnx.algebra.onnx_ops.OnnxSize_1(*args, **kwargs)¶: **Version**See Size_1.

OnnxSize_13¶

class skl2onnx.algebra.onnx_ops.OnnxSize_13(*args, **kwargs)¶: **Version**See Size_13.

OnnxSize_19¶

class skl2onnx.algebra.onnx_ops.OnnxSize_19(*args, **kwargs)¶: **Version**See Size_19.

OnnxSize_21¶

class skl2onnx.algebra.onnx_ops.OnnxSize_21(*args, **kwargs)¶: **Version**See Size_21.

OnnxSlice¶

class skl2onnx.algebra.onnx_ops.OnnxSlice(*args, **kwargs)¶: **Version**See Slice.

OnnxSlice_1¶

class skl2onnx.algebra.onnx_ops.OnnxSlice_1(*args, **kwargs)¶: **Version**See Slice_1.

OnnxSlice_10¶

class skl2onnx.algebra.onnx_ops.OnnxSlice_10(*args, **kwargs)¶: **Version**See Slice_10.

OnnxSlice_11¶

class skl2onnx.algebra.onnx_ops.OnnxSlice_11(*args, **kwargs)¶: **Version**See Slice_11.

OnnxSlice_13¶

class skl2onnx.algebra.onnx_ops.OnnxSlice_13(*args, **kwargs)¶: **Version**See Slice_13.

OnnxSoftmax¶

class skl2onnx.algebra.onnx_ops.OnnxSoftmax(*args, **kwargs)¶: **Version**See Softmax.

OnnxSoftmaxCrossEntropyLoss¶

class skl2onnx.algebra.onnx_ops.OnnxSoftmaxCrossEntropyLoss(*args, **kwargs)¶: **Version**See SoftmaxCrossEntropyLoss.

OnnxSoftmaxCrossEntropyLoss_12¶

class skl2onnx.algebra.onnx_ops.OnnxSoftmaxCrossEntropyLoss_12(*args, **kwargs)¶: **Version**See SoftmaxCrossEntropyLoss_12.

OnnxSoftmaxCrossEntropyLoss_13¶

class skl2onnx.algebra.onnx_ops.OnnxSoftmaxCrossEntropyLoss_13(*args, **kwargs)¶: **Version**See SoftmaxCrossEntropyLoss_13.

OnnxSoftmax_1¶

class skl2onnx.algebra.onnx_ops.OnnxSoftmax_1(*args, **kwargs)¶: **Version**See Softmax_1.

OnnxSoftmax_11¶

class skl2onnx.algebra.onnx_ops.OnnxSoftmax_11(*args, **kwargs)¶: **Version**See Softmax_11.

OnnxSoftmax_13¶

class skl2onnx.algebra.onnx_ops.OnnxSoftmax_13(*args, **kwargs)¶: **Version**See Softmax_13.

OnnxSoftplus¶

class skl2onnx.algebra.onnx_ops.OnnxSoftplus(*args, **kwargs)¶: **Version**See Softplus.

OnnxSoftplus_1¶

class skl2onnx.algebra.onnx_ops.OnnxSoftplus_1(*args, **kwargs)¶: **Version**See Softplus_1.

OnnxSoftplus_22¶

class skl2onnx.algebra.onnx_ops.OnnxSoftplus_22(*args, **kwargs)¶: **Version**See Softplus_22.

OnnxSoftsign¶

class skl2onnx.algebra.onnx_ops.OnnxSoftsign(*args, **kwargs)¶: **Version**See Softsign.

OnnxSoftsign_1¶

class skl2onnx.algebra.onnx_ops.OnnxSoftsign_1(*args, **kwargs)¶: **Version**See Softsign_1.

OnnxSoftsign_22¶

class skl2onnx.algebra.onnx_ops.OnnxSoftsign_22(*args, **kwargs)¶: **Version**See Softsign_22.

OnnxSpaceToDepth¶

class skl2onnx.algebra.onnx_ops.OnnxSpaceToDepth(*args, **kwargs)¶: **Version**See SpaceToDepth.

OnnxSpaceToDepth_1¶

class skl2onnx.algebra.onnx_ops.OnnxSpaceToDepth_1(*args, **kwargs)¶: **Version**See SpaceToDepth_1.

OnnxSpaceToDepth_13¶

class skl2onnx.algebra.onnx_ops.OnnxSpaceToDepth_13(*args, **kwargs)¶: **Version**See SpaceToDepth_13.

OnnxSplit¶

class skl2onnx.algebra.onnx_ops.OnnxSplit(*args, **kwargs)¶: **Version**See Split.

OnnxSplitToSequence¶

class skl2onnx.algebra.onnx_ops.OnnxSplitToSequence(*args, **kwargs)¶: **Version**See SplitToSequence.

OnnxSplitToSequence_11¶

class skl2onnx.algebra.onnx_ops.OnnxSplitToSequence_11(*args, **kwargs)¶: **Version**See SplitToSequence_11.

OnnxSplit_1¶

class skl2onnx.algebra.onnx_ops.OnnxSplit_1(*args, **kwargs)¶: **Version**See Split_1.

OnnxSplit_11¶

class skl2onnx.algebra.onnx_ops.OnnxSplit_11(*args, **kwargs)¶: **Version**See Split_11.

OnnxSplit_13¶

class skl2onnx.algebra.onnx_ops.OnnxSplit_13(*args, **kwargs)¶: **Version**See Split_13.

OnnxSplit_18¶

class skl2onnx.algebra.onnx_ops.OnnxSplit_18(*args, **kwargs)¶: **Version**See Split_18.

OnnxSplit_2¶

class skl2onnx.algebra.onnx_ops.OnnxSplit_2(*args, **kwargs)¶: **Version**See Split_2.

OnnxSqrt¶

class skl2onnx.algebra.onnx_ops.OnnxSqrt(*args, **kwargs)¶: **Version**See Sqrt.

OnnxSqrt_1¶

class skl2onnx.algebra.onnx_ops.OnnxSqrt_1(*args, **kwargs)¶: **Version**See Sqrt_1.

OnnxSqrt_13¶

class skl2onnx.algebra.onnx_ops.OnnxSqrt_13(*args, **kwargs)¶: **Version**See Sqrt_13.

OnnxSqrt_6¶

class skl2onnx.algebra.onnx_ops.OnnxSqrt_6(*args, **kwargs)¶: **Version**See Sqrt_6.

OnnxSqueeze¶

class skl2onnx.algebra.onnx_ops.OnnxSqueeze(*args, **kwargs)¶: **Version**See Squeeze.

OnnxSqueeze_1¶

class skl2onnx.algebra.onnx_ops.OnnxSqueeze_1(*args, **kwargs)¶: **Version**See Squeeze_1.

OnnxSqueeze_11¶

class skl2onnx.algebra.onnx_ops.OnnxSqueeze_11(*args, **kwargs)¶: **Version**See Squeeze_11.

OnnxSqueeze_13¶

class skl2onnx.algebra.onnx_ops.OnnxSqueeze_13(*args, **kwargs)¶: **Version**See Squeeze_13.

OnnxSqueeze_21¶

class skl2onnx.algebra.onnx_ops.OnnxSqueeze_21(*args, **kwargs)¶: **Version**See Squeeze_21.

OnnxStringConcat¶

class skl2onnx.algebra.onnx_ops.OnnxStringConcat(*args, **kwargs)¶: **Version**See StringConcat.

OnnxStringConcat_20¶

class skl2onnx.algebra.onnx_ops.OnnxStringConcat_20(*args, **kwargs)¶: **Version**See StringConcat_20.

OnnxStringNormalizer¶

class skl2onnx.algebra.onnx_ops.OnnxStringNormalizer(*args, **kwargs)¶: **Version**See StringNormalizer.

OnnxStringNormalizer_10¶

class skl2onnx.algebra.onnx_ops.OnnxStringNormalizer_10(*args, **kwargs)¶: **Version**See StringNormalizer_10.

OnnxStringSplit¶

class skl2onnx.algebra.onnx_ops.OnnxStringSplit(*args, **kwargs)¶: **Version**See StringSplit.

OnnxStringSplit_20¶

class skl2onnx.algebra.onnx_ops.OnnxStringSplit_20(*args, **kwargs)¶: **Version**See StringSplit_20.

OnnxSub¶

class skl2onnx.algebra.onnx_ops.OnnxSub(*args, **kwargs)¶: **Version**See Sub.

OnnxSub_1¶

class skl2onnx.algebra.onnx_ops.OnnxSub_1(*args, **kwargs)¶: **Version**See Sub_1.

OnnxSub_13¶

class skl2onnx.algebra.onnx_ops.OnnxSub_13(*args, **kwargs)¶: **Version**See Sub_13.

OnnxSub_14¶

class skl2onnx.algebra.onnx_ops.OnnxSub_14(*args, **kwargs)¶: **Version**See Sub_14.

OnnxSub_6¶

class skl2onnx.algebra.onnx_ops.OnnxSub_6(*args, **kwargs)¶: **Version**See Sub_6.

OnnxSub_7¶

class skl2onnx.algebra.onnx_ops.OnnxSub_7(*args, **kwargs)¶: **Version**See Sub_7.

OnnxSum¶

class skl2onnx.algebra.onnx_ops.OnnxSum(*args, **kwargs)¶: **Version**See Sum.

OnnxSum_1¶

class skl2onnx.algebra.onnx_ops.OnnxSum_1(*args, **kwargs)¶: **Version**See Sum_1.

OnnxSum_13¶

class skl2onnx.algebra.onnx_ops.OnnxSum_13(*args, **kwargs)¶: **Version**See Sum_13.

OnnxSum_6¶

class skl2onnx.algebra.onnx_ops.OnnxSum_6(*args, **kwargs)¶: **Version**See Sum_6.

OnnxSum_8¶

class skl2onnx.algebra.onnx_ops.OnnxSum_8(*args, **kwargs)¶: **Version**See Sum_8.

OnnxTan¶

class skl2onnx.algebra.onnx_ops.OnnxTan(*args, **kwargs)¶: **Version**See Tan.

OnnxTan_22¶

class skl2onnx.algebra.onnx_ops.OnnxTan_22(*args, **kwargs)¶: **Version**See Tan_22.

OnnxTan_7¶

class skl2onnx.algebra.onnx_ops.OnnxTan_7(*args, **kwargs)¶: **Version**See Tan_7.

OnnxTanh¶

class skl2onnx.algebra.onnx_ops.OnnxTanh(*args, **kwargs)¶: **Version**See Tanh.

OnnxTanh_1¶

class skl2onnx.algebra.onnx_ops.OnnxTanh_1(*args, **kwargs)¶: **Version**See Tanh_1.

OnnxTanh_13¶

class skl2onnx.algebra.onnx_ops.OnnxTanh_13(*args, **kwargs)¶: **Version**See Tanh_13.

OnnxTanh_6¶

class skl2onnx.algebra.onnx_ops.OnnxTanh_6(*args, **kwargs)¶: **Version**See Tanh_6.

OnnxTfIdfVectorizer¶

class skl2onnx.algebra.onnx_ops.OnnxTfIdfVectorizer(*args, **kwargs)¶: **Version**See TfIdfVectorizer.

OnnxTfIdfVectorizer_9¶

class skl2onnx.algebra.onnx_ops.OnnxTfIdfVectorizer_9(*args, **kwargs)¶: **Version**See TfIdfVectorizer_9.

OnnxThresholdedRelu¶

class skl2onnx.algebra.onnx_ops.OnnxThresholdedRelu(*args, **kwargs)¶: **Version**See ThresholdedRelu.

OnnxThresholdedRelu_10¶

class skl2onnx.algebra.onnx_ops.OnnxThresholdedRelu_10(*args, **kwargs)¶: **Version**See ThresholdedRelu_10.

OnnxThresholdedRelu_22¶

class skl2onnx.algebra.onnx_ops.OnnxThresholdedRelu_22(*args, **kwargs)¶: **Version**See ThresholdedRelu_22.

OnnxTile¶

class skl2onnx.algebra.onnx_ops.OnnxTile(*args, **kwargs)¶: **Version**See Tile.

OnnxTile_1¶

class skl2onnx.algebra.onnx_ops.OnnxTile_1(*args, **kwargs)¶: **Version**See Tile_1.

OnnxTile_13¶

class skl2onnx.algebra.onnx_ops.OnnxTile_13(*args, **kwargs)¶: **Version**See Tile_13.

OnnxTile_6¶

class skl2onnx.algebra.onnx_ops.OnnxTile_6(*args, **kwargs)¶: **Version**See Tile_6.

OnnxTopK¶

class skl2onnx.algebra.onnx_ops.OnnxTopK(*args, **kwargs)¶: **Version**See TopK.

OnnxTopK_1¶

class skl2onnx.algebra.onnx_ops.OnnxTopK_1(*args, **kwargs)¶: **Version**See TopK_1.

OnnxTopK_10¶

class skl2onnx.algebra.onnx_ops.OnnxTopK_10(*args, **kwargs)¶: **Version**See TopK_10.

OnnxTopK_11¶

class skl2onnx.algebra.onnx_ops.OnnxTopK_11(*args, **kwargs)¶: **Version**See TopK_11.

OnnxTranspose¶

class skl2onnx.algebra.onnx_ops.OnnxTranspose(*args, **kwargs)¶: **Version**See Transpose.

OnnxTranspose_1¶

class skl2onnx.algebra.onnx_ops.OnnxTranspose_1(*args, **kwargs)¶: **Version**See Transpose_1.

OnnxTranspose_13¶

class skl2onnx.algebra.onnx_ops.OnnxTranspose_13(*args, **kwargs)¶: **Version**See Transpose_13.

OnnxTranspose_21¶

class skl2onnx.algebra.onnx_ops.OnnxTranspose_21(*args, **kwargs)¶: **Version**See Transpose_21.

OnnxTreeEnsemble¶

class skl2onnx.algebra.onnx_ops.OnnxTreeEnsemble(*args, **kwargs)¶: **Version**See TreeEnsemble.

OnnxTreeEnsembleClassifier¶

class skl2onnx.algebra.onnx_ops.OnnxTreeEnsembleClassifier(*args, **kwargs)¶: **Version**See TreeEnsembleClassifier.

OnnxTreeEnsembleClassifier_1¶

class skl2onnx.algebra.onnx_ops.OnnxTreeEnsembleClassifier_1(*args, **kwargs)¶: **Version**See TreeEnsembleClassifier_1.

OnnxTreeEnsembleClassifier_3¶

class skl2onnx.algebra.onnx_ops.OnnxTreeEnsembleClassifier_3(*args, **kwargs)¶: **Version**See TreeEnsembleClassifier_3.

OnnxTreeEnsembleClassifier_5¶

class skl2onnx.algebra.onnx_ops.OnnxTreeEnsembleClassifier_5(*args, **kwargs)¶: **Version**See TreeEnsembleClassifier_5.

OnnxTreeEnsembleRegressor¶

class skl2onnx.algebra.onnx_ops.OnnxTreeEnsembleRegressor(*args, **kwargs)¶: **Version**See TreeEnsembleRegressor.

OnnxTreeEnsembleRegressor_1¶

class skl2onnx.algebra.onnx_ops.OnnxTreeEnsembleRegressor_1(*args, **kwargs)¶: **Version**See TreeEnsembleRegressor_1.

OnnxTreeEnsembleRegressor_3¶

class skl2onnx.algebra.onnx_ops.OnnxTreeEnsembleRegressor_3(*args, **kwargs)¶: **Version**See TreeEnsembleRegressor_3.

OnnxTreeEnsembleRegressor_5¶

class skl2onnx.algebra.onnx_ops.OnnxTreeEnsembleRegressor_5(*args, **kwargs)¶: **Version**See TreeEnsembleRegressor_5.

OnnxTreeEnsemble_5¶

class skl2onnx.algebra.onnx_ops.OnnxTreeEnsemble_5(*args, **kwargs)¶: **Version**See TreeEnsemble_5.

OnnxTrilu¶

class skl2onnx.algebra.onnx_ops.OnnxTrilu(*args, **kwargs)¶: **Version**See Trilu.

OnnxTrilu_14¶

class skl2onnx.algebra.onnx_ops.OnnxTrilu_14(*args, **kwargs)¶: **Version**See Trilu_14.

OnnxUnique¶

class skl2onnx.algebra.onnx_ops.OnnxUnique(*args, **kwargs)¶: **Version**See Unique.

OnnxUnique_11¶

class skl2onnx.algebra.onnx_ops.OnnxUnique_11(*args, **kwargs)¶: **Version**See Unique_11.

OnnxUnsqueeze¶

class skl2onnx.algebra.onnx_ops.OnnxUnsqueeze(*args, **kwargs)¶: **Version**See Unsqueeze.

OnnxUnsqueeze_1¶

class skl2onnx.algebra.onnx_ops.OnnxUnsqueeze_1(*args, **kwargs)¶: **Version**See Unsqueeze_1.

OnnxUnsqueeze_11¶

class skl2onnx.algebra.onnx_ops.OnnxUnsqueeze_11(*args, **kwargs)¶: **Version**See Unsqueeze_11.

OnnxUnsqueeze_13¶

class skl2onnx.algebra.onnx_ops.OnnxUnsqueeze_13(*args, **kwargs)¶: **Version**See Unsqueeze_13.

OnnxUnsqueeze_21¶

class skl2onnx.algebra.onnx_ops.OnnxUnsqueeze_21(*args, **kwargs)¶: **Version**See Unsqueeze_21.

OnnxUpsample¶

class skl2onnx.algebra.onnx_ops.OnnxUpsample(*args, **kwargs)¶: **Version**See Upsample.

OnnxUpsample_10¶

class skl2onnx.algebra.onnx_ops.OnnxUpsample_10(*args, **kwargs)¶: **Version**See Upsample_10.

OnnxUpsample_7¶

class skl2onnx.algebra.onnx_ops.OnnxUpsample_7(*args, **kwargs)¶: **Version**See Upsample_7.

OnnxUpsample_9¶

class skl2onnx.algebra.onnx_ops.OnnxUpsample_9(*args, **kwargs)¶: **Version**See Upsample_9.

OnnxWhere¶

class skl2onnx.algebra.onnx_ops.OnnxWhere(*args, **kwargs)¶: **Version**See Where.

OnnxWhere_16¶

class skl2onnx.algebra.onnx_ops.OnnxWhere_16(*args, **kwargs)¶: **Version**See Where_16.

OnnxWhere_9¶

class skl2onnx.algebra.onnx_ops.OnnxWhere_9(*args, **kwargs)¶: **Version**See Where_9.

OnnxXor¶

class skl2onnx.algebra.onnx_ops.OnnxXor(*args, **kwargs)¶: **Version**See Xor.

OnnxXor_1¶

class skl2onnx.algebra.onnx_ops.OnnxXor_1(*args, **kwargs)¶: **Version**See Xor_1.

OnnxXor_7¶

class skl2onnx.algebra.onnx_ops.OnnxXor_7(*args, **kwargs)¶: **Version**See Xor_7.

OnnxZipMap¶

class skl2onnx.algebra.onnx_ops.OnnxZipMap(*args, **kwargs)¶: **Version**See ZipMap.

OnnxZipMap_1¶

class skl2onnx.algebra.onnx_ops.OnnxZipMap_1(*args, **kwargs)¶: **Version**See ZipMap_1.