Fixed #92 #94
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Fixed #92 #94
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Previously, the TPOT predict and score methods needed the training data to be passed to them again to provide the predictions and scores. Now, TPOT stores an internal pointer to the training data such that this is no longer required.
optimized_pipeline, training_features, and training_classes don’t need to be directly accessed by the user. I have made them private variables in the TPOT class.
The user should not need to access the TPOT classifier methods directly. I have made them private.
The user should not have to access pset and toolbox directly. I have made them private variables.
Updated the docs to reflect the changes to tpot.predict() and tpot.score().
Since the model functions were changed to private functions, the unit tests need to be updated to refer to the private functions properly.
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See #92 for details.