はてなブックマーク

# 単変量特徴量選択（univariate feature selection）のラッパークラスを作成 class UnivariateFeatureSelection: def __init__(self, n_features, problem_type, scoring): if problem_type == 'classification': valid_scoring = { 'f_classif': f_classif, 'chi2': chi2, 'mutual_info_classif': mutual_info_classif } else: valid_scoring = { 'f_regression': f_regression, 'mutual_info_regression': mutual_info_regression } # 手法が対応していない場合の例