from sklearn.linear_model import LinearRegression


def train(x, y):
    model = LinearRegression().fit(x, y)
    return model


if __name__ == '__main__':
    model = train(x, y)
    x_new = 23.0
    y_new = model.predict(x_new)
    print(y_new)

030f7e85aa3b9593d79f4ac4ee251bbfd6befae9
<mask token>

<mask token>


def train(x, y):
    model = LinearRegression().fit(x, y)
    return model


<mask token>

<mask token>


def train(x, y):
    model = LinearRegression().fit(x, y)
    return model


if __name__ == '__main__':
    model = train(x, y)
    x_new = 23.0
    y_new = model.predict(x_new)
    print(y_new)

from sklearn.linear_model import LinearRegression


def train(x, y):
    model = LinearRegression().fit(x, y)
    return model


if __name__ == '__main__':
    model = train(x, y)
    x_new = 23.0
    y_new = model.predict(x_new)
    print(y_new)
