stateinterpreter.ml.Classifier#
- class stateinterpreter.ml.Classifier(dataset, features_names, rescale=True, test_size=0.25)[source]#
Bases:
objectMethods
__init__(dataset, features_names[, rescale, ...])compute(reg[, max_iter, quadratic_kernel, ...])feature_summary(reg)get_accuracy()get_num_features()plot()plot_regularization_path(reg)print_selected(reg)prune(reg[, overwrite])save(filename)