examples.py
def read_iris_data():
    """Reads the iris dataset and returns a tuple of data and labels."""

    with open('data/iris.csv') as file_:
        both = [([float(y) for y in x[:4]], x[4]) for x in csv.reader(file_)]
        # Make sure there is no bias by shuffling the data
        random.shuffle(both)
        data, labels = zip(*both)
        # Normalize the data
        data = list(normalize(data))
        return data, labels
Reads the iris dataset and returns a tuple of data and labels.
Reads the iris dataset and returns a tuple of data and labels.
Reads the iris dataset and returns a tuple of data and labels .
def read_iris_data():
    with open('data/iris.csv') as file_:
        both = [([float(y) for y in x[:4]], x[4]) for x in csv.reader(file_)]
        random.shuffle(both)
        data, labels = zip(*both)
        data = list(normalize(data))
        return data, labels
def read_iris_data ( ) : with open ( 'data/iris.csv' ) as file_ : both = [ ( [ float ( y ) for y in x [ : 4 ] ] , x [ 4 ] ) for x in csv . reader ( file_ ) ] random . shuffle ( both ) data , labels = zip ( * both ) data = list ( normalize ( data ) ) return data , labels
Reads the iris dataset and returns a tuple of data and labels.
Reads the iris dataset and returns a tuple of data and labels .
"""Reads the iris dataset and returns a tuple of data and labels.""" # Make sure there is no bias by shuffling the data # Normalize the data