FukuML/MLBase.py
def set_feature_transform(self, mode='polynomial', degree=1):

        '''
        Transform data feature to high level
        '''

        if self.status != 'load_train_data':
            print("Please load train data first.")
            return self.train_X

        self.feature_transform_mode = mode
        self.feature_transform_degree = degree

        self.train_X = self.train_X[:, 1:]

        self.train_X = utility.DatasetLoader.feature_transform(
            self.train_X,
            self.feature_transform_mode,
            self.feature_transform_degree
        )

        return self.train_X
def set_feature_transform(self, mode='polynomial', degree=1):

        '''
        Transform data feature to high level
        '''

        if self.status != 'load_train_data':
            print("Please load train data first.")
            return self.train_X

        self.feature_transform_mode = mode
        self.feature_transform_degree = degree

        self.train_X = self.train_X[:, 1:]

        self.train_X = utility.DatasetLoader.feature_transform(
            self.train_X,
            self.feature_transform_mode,
            self.feature_transform_degree
        )

        return self.train_X
def set_feature_transform ( self , mode = 'polynomial' , degree = 1 ) : if self . status != 'load_train_data' : print ( "Please load train data first." ) return self . train_X self . feature_transform_mode = mode self . feature_transform_degree = degree self . train_X = self . train_X [ : , 1 : ] self . train_X = utility . DatasetLoader . feature_transform ( self . train_X , self . feature_transform_mode , self . feature_transform_degree ) return self . train_X
Transform data feature to high level
Transform data feature to high level