WebMar 16, 2024 · By the looks of the input , boston is a sklearn.utils.Bunch , try and create the df using df = pd.DataFrame (boston.data,columns=boston.feature_names) – anky. Mar 16, 2024 at 14:42. Type in boston.columns.values to see an array of your column names. – … WebApr 15, 2016 · Make sure your feature names are in a numpy array, not a python list. import numpy as np feature_names = np.array(iris.feature_names) # transformed list to array feature_names[support] array(['sepal width (cm)', 'petal width (cm)'], dtype=' S17') EDIT. Per my comment above, here is your example with the CustomFeautures() function …
Python中对错误NameError: name ‘xxx‘ is not defined进行总结
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WebSep 7, 2024 · get_feature_names was the hardest method to devise. It iterates through the ColumnTransformer transformers, uses the hasattr function to discern what type of class we are dealing with and pulls the feature names accordingly. (Special Note: If the ColumnTransformer contains Pipelines and if one of the transformers in the Pipeline is … Web在这种情况下, DMatrix 实际上将运行 df.columns 以提取 feature_names 。 检查您的 test_df 中是否有重复的列名,删除或重命名它们,然后再次尝试 DMatrix() 。 假设问题确实是重复的列,则以下行应解决您的问题: Web使用L1范数作为惩罚项的线性模型 (Linear models)会得到稀疏解:大部分特征对应的系数为0。. 当你希望减少特征的维度以用于其它分类器时,可以通过 feature_selection.SelectFromModel 来选择不为0的系数。. 特别指出,常用于此目的的稀疏预测模型有 linear_model.Lasso (回归 ... royal winchester golf club logo