importnumpyasnp fromsklearn.datasetsimportload_boston fromsklearn.feature_selectionimportSelectFromModel fromsklearn.linear_modelimportLassoCV # Load the boston dataset. X,y=load_boston(return_X_y=True) # We use the base estimator LassoCV since the L1 norm promotes sparsity of features. clf=Las...
特别的用于此目的的稀疏估计量是linear_model.Lasso用于回归,和linear_model.LogisticRegression以及svm.LinearSVC 用于分类。 简单实例如下: from sklearn.svm import LinearSVC from sklearn.datasets import load_iris from sklearn.feature_selection import SelectFromModel X, y = load_iris(return_X_y=True) X....
fromsklearn.datasetsimportload_boston fromsklearn.feature_selectionimportSelectFromModel fromsklearn.linear_modelimportLassoCV Load the boston dataset. X, y = load_boston(return_X_y=True) We use the base estimator LassoCV since the L1 norm promotes sparsityoffeatures. clf = LassoCV() Set a m...
from sklearn.feature_selection import SelectFromModel from sklearn.linear_model import LassoCV # Load the boston dataset. X, y = load_boston(return_X_y=True) # We use the base estimator LassoCV since the L1 norm promotes sparsity of features. clf = LassoCV() # Set a minimum threshold ...
from sklearn.datasets import load_boston from sklearn.feature_selection import SelectFromModel from sklearn.linear_model import LassoCV # Load the boston dataset. X, y = load_boston(return_X_y=True) # We use the base estimator LassoCV since the L1 norm promotes sparsity of features. ...
from sklearn.feature_selection import SelectFromModel from sklearn.linear_model import LassoCV # Load the boston dataset. X, y = load_boston(return_X_y=True) # We use the base estimator LassoCV since the L1 norm promotes sparsity of features. ...
partial_fit(X [,y])仅将SelectFromModel元变压器安装一次。 set_params(**参数)设置此估算器的参数。 transform(X)将X缩小为选定的特征。 fromsklearn.svmimportLinearSVCfromsklearn.datasetsimportload_irisfromsklearn.feature_selectionimportSelectFromModel ...
糖尿病数据集由从442名糖尿病患者中收集的10个变量(特征)组成。此示例显示了如何使用SelectFromModel和LassoCv查找预测从基线开始一年后疾病进展的最佳两个特征。 importmatplotlib.pyplotaspltimportnumpyasnpfromsklearn.datasetsimportload_diabetesfromsklearn.feature_selectionimportSelectFromModelfromsklearn.linear_model...
_selection import SelectFromModel [as 别名]# 或者: from sklearn.feature_selection.SelectFromModel importtransform[as 别名]defselecttest():importmatplotlib.pyplotaspltimportnumpyasnpfromsklearn.datasetsimportload_bostonfromsklearn.feature_selectionimportSelectFromModelfromsklearn.linear_modelimportLassoCV...
>>> from sklearn.feature_selection import SelectFromModel >>> from sklearn.linear_model import LogisticRegression >>> X = [[ 0.87, -1.34, 0.31 ], ... [-2.79, -0.02, -0.85 ], ... [-1.34, -0.48, -2.55 ], ... [ 1.92, 1.48, 0.65 ]] >>> y = [0, 1, 0, 1] >>...