def __init__(self, model):
"""
Keras classifier wrapper.
Note that the wrapped classifier should spit logits as output.
"""
layer_id = len(model.layers)-2
self.model = Model(inputs=model.layers[0].input, outputs=model.layers[layer_id].output)
self.softmax = Sequential()
self.softmax.add(Lambda(lambda X: softmax(X, axis=1), input_shape=(10,)))
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