def train(self, data):
"""Trains the model on given data set.
:param data: Data set on which to train the model.
:type data: :class:`pandas.DataFrame`
"""
self.init_model()
data = tools.first_answers(data)
data.sort(['inserted']).apply(self.update, axis=1)
def split_data(cls, data, ratio=0.7):
"""Classmethod that splits data into training set and test set.
:param data: The object containing data.
:type data: :class:`pandas.DataFrame`.
:param ratio: What portion of data to include in the training set
and the test set. :obj:`0.5` means that the data will be
distributed equaly.
:type ratio: float
"""
data = tools.first_answers(data)
return tools.split_data(data, ratio=ratio)
