'Called by send report to list the parameters of the learner.'

def get_learner_parameters(self):

    return (('Number    of    trees', self.n_estimators), ('Maximal    number    of    considered    features', (self.max_features if self.use_max_features else 'unlimited')), ('Fixed    random    seed', (self.use_random_state and self.random_state)), ('Maximal    tree    depth', (self.max_depth if self.use_max_depth else 'unlimited')), ('Stop    splitting    nodes    with    maximum    instances', (self.min_samples_split if self.use_min_samples_split else 'unlimited')))
