def predict(self, x, **kwargs):
    'Predict class for each sample (row) in x.\n\n        Arguments:\n            x (pandas.core.frame.DataFrame): n samples to classify.\n\n        Returns:\n            pandas.core.series.Series: n predicted classes.\n        '
    return self.__random_forest_classifier.predict(x)
Predict class for each sample (row) in x.

Arguments:
    x (pandas.core.frame.DataFrame): n samples to classify.

Returns:
    pandas.core.series.Series: n predicted classes.
def predict(self, x, **kwargs):
    'Predict class for each sample (row) in x.\n\n        Arguments:\n            x (pandas.core.frame.DataFrame): n samples to classify.\n\n        Returns:\n            pandas.core.series.Series: n predicted classes.\n        '
    return self.__random_forest_classifier.predict(x)