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Update art/estimators/classification/keras.py
Co-authored-by: Beat Buesser <[email protected]>
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art/estimators/classification/keras.py

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@@ -717,7 +717,7 @@ def custom_loss_gradient(self, nn_function, tensors, input_values, name="default
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def clone_for_refitting(
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self,
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) -> "KerasClassifier": # pragma: no cover # lgtm [py/inheritance/incorrect-overridden-signature]
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) -> "KerasClassifier": # lgtm [py/inheritance/incorrect-overridden-signature]
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"""
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Create a copy of the classifier that can be refit from scratch. Will inherit same architecture, optimizer and
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initialization as cloned model, but without weights.

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