summit.multiview_platform.monoview_classifiers.random_forest

random_forest

classifier_class_name = 'RandomForest'
class RandomForest(random_state=None, n_estimators=10, max_depth=None, criterion='gini', **kwargs)

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

param_names = ['n_estimators', 'max_depth', 'criterion', '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