summit.multiview_platform.monoview_classifiers.decision_tree

decision_tree

classifier_class_name = 'DecisionTree'

class DecisionTree(random_state=None, max_depth=None, criterion='gini', splitter='best', **kwargs)

This class is an adaptation of scikit-learn’s DecisionTreeClassifier

param_names = ['max_depth', 'criterion', 'splitter', 'random_state']

classed_params = []

distribs

weird_strings

get_interpretation(directory, base_file_name, y_test, feature_ids, multiclass=False)

Base method that returns an empty string if there is not interpretation method in the classifier’s module