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Need help with evaluating model! #286

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aryan1107 opened this issue Mar 23, 2022 · 0 comments
Open

Need help with evaluating model! #286

aryan1107 opened this issue Mar 23, 2022 · 0 comments

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@aryan1107
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Hi I am new to this, I am successfully able to train and evaluate my model, however now I am wondering how do I recompute the same metrics and performance gap using fairness indicators.

My model is something like this:

def model_func():   
    model = tf.keras.models.Sequential([
        keras.layers.Dense(units = 14, input_dim=14, activation='relu'),
        keras.layers.Dense(units = 28, activation='relu'),
        keras.layers.Dense(units = 1,  activation='sigmoid')
        ])

    model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])

    return model

Then I train model and test it on test data-set.

# Geting my trained model
model = model_func()

# Training my model
train = model.fit(X_train, y_train, epochs=50, batch_size=10, verbose = 1)

Now how do I recompute the same metrics and performance gap using fairness indicators?
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@aryan1107