def fit(self, x, y, **kwargs):
    'Fit RandomForestClassifier.\n\n        Arguments:\n            x (pandas.core.frame.DataFrame): n samples to classify.\n            y (pandas.core.series.Series): n classes of the samples in the x array.\n\n        Returns:\n            None\n        '
    self.__random_forest_classifier.fit(x, y)
Fit RandomForestClassifier.

Arguments:
    x (pandas.core.frame.DataFrame): n samples to classify.
    y (pandas.core.series.Series): n classes of the samples in the x array.

Returns:
    None
def fit(self, x, y, **kwargs):
    'Fit RandomForestClassifier.\n\n        Arguments:\n            x (pandas.core.frame.DataFrame): n samples to classify.\n            y (pandas.core.series.Series): n classes of the samples in the x array.\n\n        Returns:\n            None\n        '
    self.__random_forest_classifier.fit(x, y)