本文整理汇总了Python中mlxtend.feature_selection.SequentialFeatureSelector.transform方法的典型用法代码示例。如果您正苦于以下问题：Python SequentialFeatureSelector.transform方法的具体用法？Python SequentialFeatureSelector.transform怎么用？Python SequentialFeatureSelector.transform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.transform方法的1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_transform
# 需要导入模块: from mlxtend.feature_selection import SequentialFeatureSelector [as 别名]
# 或者: from mlxtend.feature_selection.SequentialFeatureSelector import transform [as 别名]
def test_check_pandas_dataframe_transform():
iris = load_iris()
X = iris.data
y = iris.target
lr = SoftmaxRegression(random_seed=1)
sfs1 = SFS(lr,
k_features=2,
forward=True,
floating=False,
scoring='accuracy',
cv=0,
verbose=0,
n_jobs=1)
df = pd.DataFrame(X, columns=['sepal length', 'sepal width',
'petal length', 'petal width'])
sfs1 = sfs1.fit(df, y)
assert sfs1.k_feature_idx_ == (1, 3)
assert (150, 2) == sfs1.transform(df).shape