FukuML/Utility.py
def load(input_data_file='', data_type='float'):
        """load file"""
        X = []
        Y = []

        if data_type == 'float':
            with open(input_data_file) as f:
                for line in f:
                    data = line.split()
                    x = [1] + [float(v) for v in data[:-1]]
                    X.append(x)
                    Y.append(float(data[-1]))
        else:
            with open(input_data_file) as f:
                for line in f:
                    data = line.split()
                    x = [1] + [v for v in data[:-1]]
                    X.append(x)
                    Y.append(data[-1])

        return np.array(X), np.array(Y)
def load(input_data_file='', data_type='float'):
        """load file"""
        X = []
        Y = []

        if data_type == 'float':
            with open(input_data_file) as f:
                for line in f:
                    data = line.split()
                    x = [1] + [float(v) for v in data[:-1]]
                    X.append(x)
                    Y.append(float(data[-1]))
        else:
            with open(input_data_file) as f:
                for line in f:
                    data = line.split()
                    x = [1] + [v for v in data[:-1]]
                    X.append(x)
                    Y.append(data[-1])

        return np.array(X), np.array(Y)
def load ( input_data_file = '' , data_type = 'float' ) : X = [ ] Y = [ ] if data_type == 'float' : with open ( input_data_file ) as f : for line in f : data = line . split ( ) x = [ 1 ] + [ float ( v ) for v in data [ : - 1 ] ] X . append ( x ) Y . append ( float ( data [ - 1 ] ) ) else : with open ( input_data_file ) as f : for line in f : data = line . split ( ) x = [ 1 ] + [ v for v in data [ : - 1 ] ] X . append ( x ) Y . append ( data [ - 1 ] ) return np . array ( X ) , np . array ( Y )
load file
load file