raviolli

UseCase: ``` #PERFORM ONE-HOT-ENCODING ON FEATURES transformer = OneHotTransformer(output_dim=nb_classes, input_col="features", output_col="features_1hot") dataset_ = transformer.transform(dataset) ``` Where "features" is an list (1D array) of features. It outputs a 2D np.array of...