Sklearn StandardScaler显示不正确的值-我做错了什么?python pandas scikit-learn statistics data-science 我使用StandardScaler()来标准化pandas数据帧,但是当我手动计算它时,会得到不同的结果。 这是我的pd.DataFrame名为blood_df: dbp sbp weight height 0 82.6 132.1 71 172 1 79.1 129.9 79 180 2 81.7 131.2...
Create scikit-learn'sPipelineobject and populate it with any pre-processing steps and the model object. fromsklearn.pipelineimportPipelinefromsklearn.treeimportDecisionTreeClassifierfromsklearn.preprocessingimportStandardScalerpipeline_obj=Pipeline([ ("scaler",StandardScaler()), ("model",DecisionTreeClassifier...