(self)
return copy.deepcopy(self._X), copy.deepcopy(self._y), np.asarray(self._indexes)
Get training set.

        Returns
        -------
        X_train: list, shape (n_training_examples, n_features)
            The feature matrix of training data.

        y_train: list
            The labels of training data.

        indexes: list
            The indexes of the instances and labels.
            e.g. the first row of X_train is the indexes[0] instance in feature matrix X.
Get training set.
Get training set .
def get_training_data(self):
        """Get training set.

        Returns
        -------
        X_train: list, shape (n_training_examples, n_features)
            The feature matrix of training data.

        y_train: list
            The labels of training data.

        indexes: list
            The indexes of the instances and labels.
            e.g. the first row of X_train is the indexes[0] instance in feature matrix X.
        """
        return copy.deepcopy(self._X), copy.deepcopy(self._y), np.asarray(self._indexes)
def get_training_data ( self ) : return copy . deepcopy ( self . _X ) , copy . deepcopy ( self . _y ) , np . asarray ( self . _indexes )