1e04216661ac623686b0ccde55df448d70d8de12,docs/api/classifier/threshold.py,,,#,7

Before Change

    data = pd.read_csv("https://archive.ics.uci.edu/ml/machine-learning-databases/spambase/spambase.data", header=None)
    data.rename(columns={57:"is_spam"}, inplace=True)

    features = [col for col in data.columns if col != "is_spam"]

    // Extract the numpy arrays from the data frame
    X = data[features].as_matrix()
    y = data.is_spam.as_matrix()

After Change

from functools import partial

BASE = os.path.join("..", "..", "..", os.path.dirname("__file__"))
EXAMPLES = os.path.join(BASE, "examples", "data")

// TODO: Make these examples part of the code base
CHURN_DATASET = os.path.join(EXAMPLES, "churn", "churn.txt")
SPAM_DATASET =  os.path.join(EXAMPLES, "spam", "spam.csv")


def load_spam():
    df = pd.read_csv(SPAM_DATASET)

Instances