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Python TPOT._select_kbest方法代码示例

本文整理汇总了Python中tpot.TPOT._select_kbest方法的典型用法代码示例。如果您正苦于以下问题:Python TPOT._select_kbest方法的具体用法?Python TPOT._select_kbest怎么用?Python TPOT._select_kbest使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在tpot.TPOT的用法示例。


在下文中一共展示了TPOT._select_kbest方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: test_select_kbest_4

# 需要导入模块: from tpot import TPOT [as 别名]
# 或者: from tpot.TPOT import _select_kbest [as 别名]
def test_select_kbest_4():
    """Ensure that the TPOT select kbest outputs the same result as sklearn select kbest when 0< k< features"""
    tpot_obj = TPOT()
    non_feature_columns = ['class', 'group', 'guess']
    training_features = training_testing_data.loc[training_testing_data['group'] == 'training'].drop(non_feature_columns, axis=1)
    training_class_vals = training_testing_data.loc[training_testing_data['group'] == 'training', 'class'].values

    with warnings.catch_warnings():
        warnings.simplefilter('ignore', category=UserWarning)
        selector = SelectKBest(f_classif, k=42)
        selector.fit(training_features, training_class_vals)
        mask = selector.get_support(True)
    mask_cols = list(training_features.iloc[:, mask].columns) + non_feature_columns

    assert np.array_equal(tpot_obj._select_kbest(training_testing_data, 42), training_testing_data[mask_cols])
开发者ID:ANSWER1992,项目名称:tpot,代码行数:17,代码来源:tests.py

示例2: test_select_kbest

# 需要导入模块: from tpot import TPOT [as 别名]
# 或者: from tpot.TPOT import _select_kbest [as 别名]
def test_select_kbest():
    """Ensure that the TPOT select kbest outputs the input dataframe when no. of training features is 0"""
    tpot_obj = TPOT()

    assert np.array_equal(tpot_obj._select_kbest(training_testing_data.ix[:, -3:], 1), training_testing_data.ix[:, -3:])
开发者ID:ANSWER1992,项目名称:tpot,代码行数:7,代码来源:tests.py


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