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Added a new functionality to access feature importance via attention weights for all DL models for Tabular data except for the TabPerceiver. This functionality is accessed via the feature_importance attribute in the trainer (computed during training with a sample of observations) and at predict time via de explain method.
Fix all restore weights capabilities in all forms of training. Such capabilities are present in two callbacks, the EarlyStopping and the ModelCheckpoint Callbacks. Prior to this release there was a bug and the weights were not restored.