本文整理汇总了Python中mlxtend.feature_selection.SequentialFeatureSelector._TESTING_INTERRUPT_MODE方法的典型用法代码示例。如果您正苦于以下问题：Python SequentialFeatureSelector._TESTING_INTERRUPT_MODE方法的具体用法？Python SequentialFeatureSelector._TESTING_INTERRUPT_MODE怎么用？Python SequentialFeatureSelector._TESTING_INTERRUPT_MODE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类mlxtend.feature_selection.SequentialFeatureSelector的用法示例。
在下文中一共展示了SequentialFeatureSelector._TESTING_INTERRUPT_MODE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_check_pandas_dataframe_fit_backward
# 需要导入模块: from mlxtend.feature_selection import SequentialFeatureSelector [as 别名]
# 或者: from mlxtend.feature_selection.SequentialFeatureSelector import _TESTING_INTERRUPT_MODE [as 别名]
def test_check_pandas_dataframe_fit_backward():
for floating in [True, False]:
iris = load_iris()
X = iris.data
y = iris.target
lr = SoftmaxRegression(random_seed=1)
sfs1 = SFS(lr,
k_features=2,
forward=False,
floating=floating,
scoring='accuracy',
cv=0,
verbose=0,
n_jobs=1)
df = pd.DataFrame(X, columns=['sepal len', 'sepal width',
'petal len', 'petal width'])
sfs1 = sfs1.fit(X, y)
assert sfs1.k_feature_idx_ == (1, 2)
assert sfs1.k_feature_names_ == ('1', '2')
assert sfs1.subsets_[2]['feature_names'] == ('1', '2')
sfs1 = sfs1.fit(df, y)
assert sfs1.subsets_[3]['feature_names'] == ('sepal len',
'sepal width',
'petal len')
assert sfs1.subsets_[2]['feature_names'] == ('sepal width',
'petal len')
assert sfs1.subsets_[3]['feature_idx'] == (0, 1, 2)
assert sfs1.subsets_[2]['feature_idx'] == (1, 2)
assert sfs1.k_feature_idx_ == (1, 2)
assert sfs1.k_feature_names_ == ('sepal width', 'petal len')
sfs1._TESTING_INTERRUPT_MODE = True
out = sfs1.fit(df, y)
assert len(out.subsets_.keys()) > 0
assert sfs1.interrupted_
assert sfs1.subsets_[3]['feature_names'] == ('sepal len',
'sepal width',
'petal len')
assert sfs1.k_feature_idx_ == (0, 1, 2)
assert sfs1.k_feature_names_ == ('sepal len', 'sepal width',
'petal len')示例2: test_keyboard_interrupt
# 需要导入模块: from mlxtend.feature_selection import SequentialFeatureSelector [as 别名]
# 或者: from mlxtend.feature_selection.SequentialFeatureSelector import _TESTING_INTERRUPT_MODE [as 别名]
def test_keyboard_interrupt():
iris = load_iris()
X = iris.data
y = iris.target
knn = KNeighborsClassifier(n_neighbors=4)
sfs1 = SFS(
knn,
k_features=3,
forward=True,
floating=False,
cv=3,
clone_estimator=False,
verbose=5,
n_jobs=1
)
sfs1._TESTING_INTERRUPT_MODE = True
out = sfs1.fit(X, y)
assert len(out.subsets_.keys()) > 0
assert sfs1.interrupted_