except: 和 except Exception as e 之间的区别: 2 回答1.7k 阅读✓ 已解决 Python:kwargs.pop() 和 kwargs.get() 之间的区别 1 回答1.9k 阅读 Django 上静态 STATIC_URL 和 STATIC_ROOT 之间的区别 1 回答723 阅读 Python 3.5 中协程和未来/任务之间的区别? 2 回答862 阅
df_scaled = scaler.transform(X) # In your prediction step clf.predict(scaler.transform(query_df)) I've verified that the SimpleScaler transform actually works fine (see:https://gallery.cortanaanalytics.com/Experiment/b3873a36433e46b7b6ff6228bf9ee302). Could you please try the steps above to...
代码语言:python 代码运行次数:0 运行 AI代码解释 my_odd_scaler=preprocessing.MinMaxScaler(feature_range=(-3.14,3.14)) Furthermore, another option is normalization. This will scale each sample to have a length of 1. This is different from the other types of scaling done previously, where the fea...
fromsklearn.pipelineimportPipelinefromsklearn.treeimportDecisionTreeClassifierfromsklearn.preprocessingimportStandardScalerpipeline_obj=Pipeline([ ("scaler",StandardScaler()), ("model",DecisionTreeClassifier()) ]) CallPipeline.fit(X,y)method to train the model. ...
self.scaler_G.update() # Check for NaN Generator loss if torch.isnan(self.loss_G): print("ERROR: Generator loss is NaN. Stopping training.") raise RuntimeError("Generator loss is NaN") # Return scalar values of main losses for logging # Use .item() to get Python float from tensor...
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或者,您可以删除异常值并使用上述 2 个缩放器中的任何一个(选择取决于数据是否呈正态分布) 补充说明:如果在train_test_split之前使用scaler,会发生数据泄露。在 train_test_split 之后使用缩放器 原文由 perpetualstudent 发布,翻译遵循 CC BY-SA 4.0 许可协议 ...