Changelog
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0.2.0
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* Now the datasets are saved in hdf5 format
* The datasets can be splited, and models can be trained in folds
* Added a new class for integrate transformations to the data
* You can choice if the datasets are saved with applied tranformations or not
* Examples for data operations are described in the example's section
* Added ensembled models (Bagging, Stacking, Boosting)

0.1.1
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* Added Auto Encoder class
* Added parametric tsne

0.1.0
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* Initial version
