stateinterpreter.ml.Classifier#

class stateinterpreter.ml.Classifier(dataset, features_names, rescale=True, test_size=0.25)[source]#

Bases: object

__init__(dataset, features_names, rescale=True, test_size=0.25)[source]#

Methods

__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)