遇到“NameError: name 'stackingregressor' is not defined”这个错误时,通常意味着Python解释器在你的代码中找不到名为stackingregressor的类或函数。以下是一些可能的解决步骤和原因: 确认类名或函数名是否正确: 在Python中,类名和函数名通常是大小写敏感的。确认你是否想要使用的是StackingRegressor而不是stackingre...
UserWarning) import shap try: from lightgbm import LGBMRegressor, LGBMClassifier, Booster import lightgbm if (version.parse(lightgbm.__version__) <= version.parse('2.2.1')): print("Using older than supported version of lightgbm, please upgrade to version greater than 2.2.1") except...
cc @ldionne as the author of the potential regressor https://reviews.llvm.org/D152377 Copy link Member ldionne commented Jul 3, 2023 @sylvestre Where is __BEGIN_DECLS defined on your system? This looks like a header search path mis-configuration to me, we're only doing # include <sy...
Breitung test Both the LLC and HT tests take the approach of first fitting a regression model and subsequently adjusting the autoregressive parameter or its t statistic to compensate for the bias induced by having a dynamic regressor and fixed effects in the model. The Breitung (2000; Breitung ...
This parameter can be one of the following strings: LogisticRegression, LogisticRegressionCV, LightGBMClassifier, ElasticNet, ElasticNetCV, LightGBMRegressor, or LinearRegression MachineLearningStorageAccountType type of this storage account. MachineLearningTriggerType Is the trigger type recurrence or ...
defbuild_filter1(motion_params, comp_norm, outliers):"""Builds a regressor set comprisong motion parameters, composite norm and outliers The outliers are added as a single time point column for each outlier Parameters --- motion_params
model = RegressorModelHolder.getInstance().createAMRulesRegressorModel(modelName); }if(!model.isInitialized()) {if(logger.isDebugEnabled()) { logger.debug(String.format("Model [%s] has not been initialized.", modelName)); } model.init(noOfAttributes); ...
Breitung test Both the LLC and HT tests take the approach of first fitting a regression model and subsequently adjusting the autoregressive parameter or its t statistic to compensate for the bias induced by having a dynamic regressor and fixed effects in the model. The Breitung (2000; Breitung ...