Data Science, Regularization, Machine Learning, Editors Pick, Hands On Tutorials.
:param values: array of values :return: integer representing the variance of the values """ return np.round(np.var(values), 0) def fit_model(features, targets, type='Linear', alpha=0.5): """ Fits a linear model or the Lasso and Ridge regularizations. :param features: model features :param targets: