Web Reference: In this video, we tackle a common issue faced by many machine learning practitioners using Keras: the dreaded AttributeError related to the 'KerasClassifier' object. Jun 19, 2017 · For classifier to have the model variable available, you need to call. Although you have used cross_val_score() over the classifier, and found out accuracies, but the main point to note here is that the cross_val_score will clone the supplied model and use them for cross-validation folds. For KerasClassifier.predict_proba to work, this transformer must accept a return_proba argument in inverse_transform with a default value of False. Metadata will be collected from get_metadata if the transformer implements that method.
YouTube Excerpt: Discover how to resolve the `
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