索引

_

__init__() (econml.cate_interpreter.SingleTreeCateInterpreter 方法) (econml.cate_interpreter.SingleTreePolicyInterpreter 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dowhy.DoWhyWrapper 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.grf._base_grf.BaseGRF 方法) (econml.grf._base_grftree.GRFTree 方法) (econml.grf.CausalForest 方法) (econml.grf.CausalIVForest 方法) (econml.grf.LinearMomentGRFCriterion 方法) (econml.grf.LinearMomentGRFCriterionMSE 方法) (econml.grf.MultiOutputGRF 方法) (econml.grf.RegressionForest 方法) (econml.inference.BootstrapInference 方法) (econml.inference.EmpiricalInferenceResults 方法) (econml.inference.GenericModelFinalInference 方法) (econml.inference.GenericModelFinalInferenceDiscrete 方法) (econml.inference.GenericSingleTreatmentModelFinalInference 方法) (econml.inference.LinearModelFinalInference 方法) (econml.inference.LinearModelFinalInferenceDiscrete 方法) (econml.inference.NormalInferenceResults 方法) (econml.inference.PopulationSummaryResults 方法) (econml.inference.StatsModelsInference 方法) (econml.inference.StatsModelsInferenceDiscrete 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.iv.nnet.DeepIV 方法) (econml.iv.sieve.DPolynomialFeatures 方法) (econml.iv.sieve.HermiteFeatures 方法) (econml.iv.sieve.SieveTSLS 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法) (econml.policy.DRPolicyForest 方法) (econml.policy.DRPolicyTree 方法) (econml.policy.PolicyForest 方法) (econml.policy.PolicyTree 方法) (econml.score.EnsembleCateEstimator 方法) (econml.score.RScorer 方法) (econml.sklearn_extensions.linear_model.DebiasedLasso 方法) (econml.sklearn_extensions.linear_model.MultiOutputDebiasedLasso 方法) (econml.sklearn_extensions.linear_model.SelectiveRegularization 方法) (econml.sklearn_extensions.linear_model.StatsModelsLinearRegression 方法) (econml.sklearn_extensions.linear_model.StatsModelsRLM 方法) (econml.sklearn_extensions.linear_model.WeightedLasso 方法) (econml.sklearn_extensions.linear_model.WeightedLassoCV 方法) (econml.sklearn_extensions.linear_model.WeightedLassoCVWrapper 方法) (econml.sklearn_extensions.linear_model.WeightedMultiTaskLassoCV 方法) (econml.sklearn_extensions.model_selection.GridSearchCVList 方法) (econml.sklearn_extensions.model_selection.WeightedKFold 方法) (econml.sklearn_extensions.model_selection.WeightedStratifiedKFold 方法) (econml.solutions.causal_analysis.CausalAnalysis 方法) (econml.validate.BLPEvaluationResults 方法) (econml.validate.CalibrationEvaluationResults 方法) (econml.validate.DRTester 方法) (econml.validate.EvaluationResults 方法) (econml.validate.UpliftEvaluationResults 方法)

_crossfit() (在 econml._ortho_learner 模块中) _OrthoLearner (econml._ortho_learner 中的类) _RLearner (econml.dml._rlearner 中的类)

A

add_extra_txt() (econml.utilities.Summary 方法) add_intercept() (在 econml.utilities 模块中) aggregate() (econml.sklearn_extensions.linear_model.StatsModelsLinearRegression 静态方法) always_treat_value_ (econml.cate_interpreter.SingleTreePolicyInterpreter 属性) (econml.policy.PolicyTree 属性) apply() (econml.grf._base_grf.BaseGRF 方法) (econml.grf._base_grftree.GRFTree 方法) (econml.grf.CausalForest 方法) (econml.grf.CausalIVForest 方法) (econml.grf.RegressionForest 方法) (econml.policy.PolicyForest 方法) (econml.policy.PolicyTree 方法) as_csv() (econml.utilities.Summary 方法) as_html() (econml.utilities.Summary 方法) as_latex() (econml.utilities.Summary 方法) as_text() (econml.utilities.Summary 方法) ate() (econml._cate_estimator.BaseCateEstimator 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.LinearCateEstimator 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorMixin 方法) (econml._cate_estimator.TreatmentExpansionMixin 方法) (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.iv.nnet.DeepIV 方法) (econml.iv.sieve.SieveTSLS 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法) ate_ (econml.dml.CausalForestDML 属性) ate__inference() (econml.dml.CausalForestDML 方法) ate_inference() (econml._cate_estimator.BaseCateEstimator 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.LinearCateEstimator 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorMixin 方法) (econml._cate_estimator.TreatmentExpansionMixin 方法) (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.iv.nnet.DeepIV 方法) (econml.iv.sieve.SieveTSLS 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法)

ate_interval() (econml._cate_estimator.BaseCateEstimator 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.LinearCateEstimator 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorMixin 方法) (econml._cate_estimator.TreatmentExpansionMixin 方法) (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.iv.nnet.DeepIV 方法) (econml.iv.sieve.SieveTSLS 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法) ate_stderr_ (econml.dml.CausalForestDML 属性) att_() (econml.dml.CausalForestDML 方法) att__inference() (econml.dml.CausalForestDML 方法) att_stderr_() (econml.dml.CausalForestDML 方法)

B

BaseCateEstimator (econml._cate_estimator 中的类) BaseGRF (econml.grf._base_grf 中的类) best_model() (econml.score.RScorer 方法) bias_part_of_coef (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 属性)

BLPEvaluationResults (econml.validate 中的类) BootstrapEstimator (econml.inference._bootstrap 中的类) BootstrapInference (econml.inference 中的类) broadcast_unit_treatments() (在 econml.utilities 模块中)

C

CachedValues (econml._ortho_learner 中的类) CalibrationEvaluationResults (econml.validate 中的类) 可以设置 W cate_feature_names() (econml._cate_estimator.BaseCateEstimator 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.LinearCateEstimator 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorMixin 方法) (econml._cate_estimator.TreatmentExpansionMixin 方法) (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.iv.nnet.DeepIV 方法) (econml.iv.sieve.SieveTSLS 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法) cate_output_names() (econml._cate_estimator.BaseCateEstimator 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.LinearCateEstimator 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorMixin 方法) (econml._cate_estimator.TreatmentExpansionMixin 方法) (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.iv.nnet.DeepIV 方法) (econml.iv.sieve.SieveTSLS 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法) cate_treatment_names() (econml._cate_estimator.BaseCateEstimator 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.LinearCateEstimator 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorMixin 方法) (econml._cate_estimator.TreatmentExpansionMixin 方法) (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.iv.nnet.DeepIV 方法) (econml.iv.sieve.SieveTSLS 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法) CausalAnalysis (econml.solutions.causal_analysis 中的类) CausalForest (econml.grf 中的类) CausalForestDML (econml.dml 中的类) CausalIVForest (econml.grf 中的类) 注意 check_input_arrays() (在 econml.utilities 模块中) check_inputs() (在 econml.utilities 模块中) check_models() (在 econml.utilities 模块中) coef_ (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 属性) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 属性) (econml._cate_estimator.StatsModelsCateEstimatorMixin 属性) (econml.dml.DML 属性) (econml.dml.KernelDML 属性) (econml.dml.LinearDML 属性) (econml.dml.SparseLinearDML 属性) (econml.iv.dml.DMLIV 属性) (econml.iv.dml.OrthoIV 属性) (econml.iv.dr.LinearDRIV 属性) (econml.iv.dr.LinearIntentToTreatDRIV 属性) (econml.iv.dr.SparseLinearDRIV 属性) (econml.panel.dml.DynamicDML 属性) (econml.sklearn_extensions.linear_model.DebiasedLasso 属性) (econml.sklearn_extensions.linear_model.MultiOutputDebiasedLasso 属性) (econml.sklearn_extensions.linear_model.SelectiveRegularization 属性) (econml.sklearn_extensions.linear_model.StatsModelsLinearRegression 属性) (econml.sklearn_extensions.linear_model.StatsModelsRLM 属性) (econml.sklearn_extensions.linear_model.WeightedLasso 属性) coef_() (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) coef__inference() (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorMixin 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.panel.dml.DynamicDML 方法) coef__interval() (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorMixin 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.panel.dml.DynamicDML 方法) (econml.sklearn_extensions.linear_model.DebiasedLasso 方法) (econml.sklearn_extensions.linear_model.MultiOutputDebiasedLasso 方法) (econml.sklearn_extensions.linear_model.StatsModelsLinearRegression 方法) (econml.sklearn_extensions.linear_model.StatsModelsRLM 方法)

coef_stderr_ (econml.sklearn_extensions.linear_model.DebiasedLasso 属性) (econml.sklearn_extensions.linear_model.MultiOutputDebiasedLasso 属性) (econml.sklearn_extensions.linear_model.StatsModelsLinearRegression 属性) (econml.sklearn_extensions.linear_model.StatsModelsRLM 属性) cohort_causal_effect() (econml.solutions.causal_analysis.CausalAnalysis 方法) 合规性 concatenate() (在 econml.utilities 模块中) conf_int() (econml.inference.EmpiricalInferenceResults 方法) (econml.inference.NormalInferenceResults 方法) conf_int_mean() (econml.inference.PopulationSummaryResults 方法) conf_int_point() (econml.inference.PopulationSummaryResults 方法) 置信区间/模型选择 const_marginal_ate() (econml._cate_estimator.LinearCateEstimator 方法) (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法) const_marginal_ate_inference() (econml._cate_estimator.LinearCateEstimator 方法) (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法) const_marginal_ate_interval() (econml._cate_estimator.LinearCateEstimator 方法) (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法) const_marginal_effect() (econml._cate_estimator.LinearCateEstimator 方法) (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法) (econml.score.EnsembleCateEstimator 方法) const_marginal_effect_inference() (econml._cate_estimator.LinearCateEstimator 方法) (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法) const_marginal_effect_interval() (econml._cate_estimator.LinearCateEstimator 方法) (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法) count() (econml._ortho_learner.CachedValues 方法) cross_product() (在 econml.utilities 模块中)

D

DebiasedLasso (econml.sklearn_extensions.linear_model 中的类) DebiasedLassoCateEstimatorDiscreteMixin (econml._cate_estimator 中的类) DebiasedLassoCateEstimatorMixin (econml._cate_estimator 中的类) decision_path() (econml.grf._base_grf.BaseGRF 方法) (econml.grf._base_grftree.GRFTree 方法) (econml.grf.CausalForest 方法) (econml.grf.CausalIVForest 方法) (econml.grf.RegressionForest 方法) (econml.policy.PolicyForest 方法) (econml.policy.PolicyTree 方法) DeepIV (econml.iv.nnet 中的类) deprecated() (在 econml.utilities 模块中) DML (econml.dml 中的类) DMLIV (econml.iv.dml 中的类) DMLOrthoForest (econml.orf 中的类) DomainAdaptationLearner (econml.metalearners 中的类) dowhy (econml._cate_estimator.BaseCateEstimator 属性) (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 属性) (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 属性) (econml._cate_estimator.ForestModelFinalCateEstimatorDiscreteMixin 属性) (econml._cate_estimator.ForestModelFinalCateEstimatorMixin 属性) (econml._cate_estimator.LinearCateEstimator 属性) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 属性) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 属性) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 属性) (econml._cate_estimator.StatsModelsCateEstimatorMixin 属性) (econml._cate_estimator.TreatmentExpansionMixin 属性) (econml._ortho_learner._OrthoLearner 属性) (econml.dml._rlearner._RLearner 属性) (econml.dml.CausalForestDML 属性) (econml.dml.DML 属性) (econml.dml.KernelDML 属性) (econml.dml.LinearDML 属性) (econml.dml.NonParamDML 属性) (econml.dml.SparseLinearDML 属性) (econml.dr.DRLearner 属性) (econml.dr.ForestDRLearner 属性) (econml.dr.LinearDRLearner 属性) (econml.dr.SparseLinearDRLearner 属性) (econml.federated_learning.FederatedEstimator 属性) (econml.iv.dml.DMLIV 属性) (econml.iv.dml.NonParamDMLIV 属性) (econml.iv.dml.OrthoIV 属性) (econml.iv.dr.DRIV 属性) (econml.iv.dr.ForestDRIV 属性) (econml.iv.dr.IntentToTreatDRIV 属性) (econml.iv.dr.LinearDRIV 属性) (econml.iv.dr.LinearIntentToTreatDRIV 属性) (econml.iv.dr.SparseLinearDRIV 属性) (econml.iv.nnet.DeepIV 属性) (econml.iv.sieve.SieveTSLS 属性) (econml.metalearners.DomainAdaptationLearner 属性) (econml.metalearners.SLearner 属性) (econml.metalearners.TLearner 属性) (econml.metalearners.XLearner 属性) (econml.orf.DMLOrthoForest 属性) (econml.orf.DROrthoForest 属性) (econml.panel.dml.DynamicDML 属性)

DoWhyWrapper (econml.dowhy 中的类) DPolynomialFeatures (econml.iv.sieve 中的类) DRIV (econml.iv.dr 中的类) DRLearner (econml.dr 中的类) DROrthoForest (econml.orf 中的类) DRPolicyForest (econml.policy 中的类) DRPolicyTree (econml.policy 中的类) DRTester (econml.validate 中的类) DynamicDML (econml.panel.dml 中的类)

E

econml._cate_estimator 模块 econml._ortho_learner 模块 econml.dml._rlearner 模块 econml.inference._bootstrap 模块 econml.utilities 模块 effect() (econml._cate_estimator.BaseCateEstimator 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.LinearCateEstimator 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorMixin 方法) (econml._cate_estimator.TreatmentExpansionMixin 方法) (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.iv.nnet.DeepIV 方法) (econml.iv.sieve.SieveTSLS 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法) (econml.score.EnsembleCateEstimator 方法) effect_inference() (econml._cate_estimator.BaseCateEstimator 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.LinearCateEstimator 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorMixin 方法) (econml._cate_estimator.TreatmentExpansionMixin 方法) (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.iv.nnet.DeepIV 方法) (econml.iv.sieve.SieveTSLS 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法)

effect_interval() (econml._cate_estimator.BaseCateEstimator 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.LinearCateEstimator 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorMixin 方法) (econml._cate_estimator.TreatmentExpansionMixin 方法) (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.iv.nnet.DeepIV 方法) (econml.iv.sieve.SieveTSLS 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法) einsum_sparse() (在 econml.utilities 模块中) EmpiricalInferenceResults (econml.inference 中的类) ensemble() (econml.score.RScorer 方法) EnsembleCateEstimator (econml.score 中的类) estimators_ (econml.grf.CausalForest 属性) (econml.grf.CausalIVForest 属性) (econml.grf.RegressionForest 属性) evaluate_all() (econml.validate.DRTester 方法) evaluate_blp() (econml.validate.DRTester 方法) evaluate_cal() (econml.validate.DRTester 方法) evaluate_uplift() (econml.validate.DRTester 方法) EvaluationResults (econml.validate 中的类) 实验 export_graphviz() (econml.cate_interpreter.SingleTreeCateInterpreter 方法) (econml.cate_interpreter.SingleTreePolicyInterpreter 方法) (econml.policy.DRPolicyForest 方法) (econml.policy.DRPolicyTree 方法) (econml.policy.PolicyTree 方法) extra_txt (econml.utilities.Summary 属性)

F

feature_importances() (econml.grf._base_grf.BaseGRF 方法) (econml.grf._base_grftree.GRFTree 方法) (econml.grf.CausalForest 方法) (econml.grf.CausalIVForest 方法) (econml.grf.RegressionForest 方法) (econml.policy.DRPolicyForest 方法) (econml.policy.DRPolicyTree 方法) (econml.policy.PolicyForest 方法) (econml.policy.PolicyTree 方法) feature_importances_ (econml.dml.CausalForestDML 属性) (econml.grf._base_grftree.GRFTree 属性) (econml.grf.CausalForest 属性) (econml.grf.CausalIVForest 属性) (econml.grf.RegressionForest 属性) (econml.policy.PolicyForest 属性) (econml.policy.PolicyTree 属性) feature_names_ (econml.solutions.causal_analysis.CausalAnalysis 属性) featurizer_ (econml.dr.DRLearner 属性) (econml.dr.ForestDRLearner 属性) (econml.dr.LinearDRLearner 属性) (econml.dr.SparseLinearDRLearner 属性) (econml.iv.dml.OrthoIV 属性) (econml.iv.dr.DRIV 属性) (econml.iv.dr.ForestDRIV 属性) (econml.iv.dr.IntentToTreatDRIV 属性) (econml.iv.dr.LinearDRIV 属性) (econml.iv.dr.LinearIntentToTreatDRIV 属性) (econml.iv.dr.SparseLinearDRIV 属性) FederatedEstimator (econml.federated_learning 中的类) filter_none_kwargs() (在 econml.utilities 模块中) fit() (econml._cate_estimator.BaseCateEstimator 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.LinearCateEstimator 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorMixin 方法) (econml._cate_estimator.TreatmentExpansionMixin 方法) (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dowhy.DoWhyWrapper 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.grf._base_grf.BaseGRF 方法) (econml.grf._base_grftree.GRFTree 方法) (econml.grf.CausalForest 方法) (econml.grf.CausalIVForest 方法) (econml.grf.RegressionForest 方法) (econml.inference._bootstrap.BootstrapEstimator 方法) (econml.inference.BootstrapInference 方法) (econml.inference.GenericModelFinalInference 方法) (econml.inference.GenericModelFinalInferenceDiscrete 方法) (econml.inference.GenericSingleTreatmentModelFinalInference 方法) (econml.inference.LinearModelFinalInference 方法) (econml.inference.LinearModelFinalInferenceDiscrete 方法) (econml.inference.StatsModelsInference 方法) (econml.inference.StatsModelsInferenceDiscrete 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.iv.nnet.DeepIV 方法) (econml.iv.sieve.DPolynomialFeatures 方法) (econml.iv.sieve.HermiteFeatures 方法) (econml.iv.sieve.SieveTSLS 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法) (econml.policy.DRPolicyForest 方法) (econml.policy.DRPolicyTree 方法) (econml.policy.PolicyForest 方法) (econml.policy.PolicyTree 方法) (econml.score.RScorer 方法) (econml.sklearn_extensions.linear_model.DebiasedLasso 方法) (econml.sklearn_extensions.linear_model.MultiOutputDebiasedLasso 方法) (econml.sklearn_extensions.linear_model.SelectiveRegularization 方法) (econml.sklearn_extensions.linear_model.StatsModelsLinearRegression 方法) (econml.sklearn_extensions.linear_model.StatsModelsRLM 方法) (econml.sklearn_extensions.linear_model.WeightedLasso 方法) (econml.sklearn_extensions.linear_model.WeightedLassoCV 方法) (econml.sklearn_extensions.linear_model.WeightedMultiTaskLassoCV 方法) (econml.solutions.causal_analysis.CausalAnalysis 方法) (econml.utilities.IdentityFeatures 方法) (econml.utilities.MultiModelWrapper 方法) (econml.utilities.WeightedModelWrapper 方法)

fit_nuisance() (econml.validate.DRTester 方法) fit_nuisance_cv() (econml.validate.DRTester 方法) fit_nuisance_train() (econml.validate.DRTester 方法) fit_transform() (econml.iv.sieve.DPolynomialFeatures 方法) (econml.iv.sieve.HermiteFeatures 方法) (econml.utilities.IdentityFeatures 方法) ForestDRIV (econml.iv.dr 中的类) ForestDRLearner (econml.dr 中的类) ForestModelFinalCateEstimatorDiscreteMixin (econml._cate_estimator 中的类) ForestModelFinalCateEstimatorMixin (econml._cate_estimator 中的类) freq_weight (econml._ortho_learner.CachedValues 属性)

G

GenericModelFinalInference (econml.inference 中的类) GenericModelFinalInferenceDiscrete (econml.inference 中的类) GenericSingleTreatmentModelFinalInference (econml.inference 中的类) get_cate_preds() (econml.validate.DRTester 方法) get_cv_splits() (econml.validate.DRTester 方法) get_cv_splitter() (econml.validate.DRTester 方法) get_depth() (econml.grf._base_grftree.GRFTree 方法) (econml.policy.PolicyTree 方法) get_feature_names_or_default() (在 econml.utilities 模块中) get_input_columns() (在 econml.utilities 模块中) get_n_leaves() (econml.grf._base_grftree.GRFTree 方法) (econml.policy.PolicyTree 方法) get_n_splits() (econml.sklearn_extensions.model_selection.WeightedKFold 方法) (econml.sklearn_extensions.model_selection.WeightedStratifiedKFold 方法) get_params() (econml.grf._base_grf.BaseGRF 方法) (econml.grf._base_grftree.GRFTree 方法) (econml.grf.CausalForest 方法) (econml.grf.CausalIVForest 方法) (econml.grf.MultiOutputGRF 方法) (econml.grf.RegressionForest 方法) (econml.policy.PolicyForest 方法) (econml.policy.PolicyTree 方法) (econml.sklearn_extensions.linear_model.DebiasedLasso 方法) (econml.sklearn_extensions.linear_model.MultiOutputDebiasedLasso 方法) (econml.sklearn_extensions.linear_model.StatsModelsLinearRegression 方法) (econml.sklearn_extensions.linear_model.StatsModelsRLM 方法) (econml.sklearn_extensions.linear_model.WeightedLasso 方法) (econml.sklearn_extensions.linear_model.WeightedLassoCV 方法) (econml.sklearn_extensions.linear_model.WeightedLassoCVWrapper 方法) (econml.sklearn_extensions.linear_model.WeightedMultiTaskLassoCV 方法) (econml.sklearn_extensions.model_selection.GridSearchCVList 方法)

get_subsample_inds() (econml.grf._base_grf.BaseGRF 方法) (econml.grf.CausalForest 方法) (econml.grf.CausalIVForest 方法) (econml.grf.RegressionForest 方法) (econml.policy.PolicyForest 方法) get_train_test_split_inds() (econml.grf._base_grftree.GRFTree 方法) (econml.policy.PolicyTree 方法) global_causal_effect() (econml.solutions.causal_analysis.CausalAnalysis 方法) GRFTree (econml.grf._base_grftree 中的类) GridSearchCVList (econml.sklearn_extensions.model_selection 中的类) groups (econml._ortho_learner.CachedValues 属性)

H

HermiteFeatures (econml.iv.sieve 中的类) heterogeneity_model (econml.solutions.causal_analysis.CausalAnalysis 属性)

honest_ (econml.grf._base_grftree.GRFTree 属性) (econml.policy.PolicyTree 属性) hstack() (在 econml.utilities 模块中)

I

IdentityFeatures (econml.utilities 中的类) index() (econml._ortho_learner.CachedValues 方法) individualized_policy() (econml.solutions.causal_analysis.CausalAnalysis 方法) init() (econml.grf._base_grftree.GRFTree 方法) 工具变量 IntentToTreatDRIV (econml.iv.dr 中的类) intercept_ (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 属性) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 属性) (econml._cate_estimator.StatsModelsCateEstimatorMixin 属性) (econml.dml.DML 属性) (econml.dml.KernelDML 属性) (econml.dml.LinearDML 属性) (econml.dml.SparseLinearDML 属性) (econml.iv.dml.DMLIV 属性) (econml.iv.dml.OrthoIV 属性) (econml.iv.dr.LinearDRIV 属性) (econml.iv.dr.LinearIntentToTreatDRIV 属性) (econml.iv.dr.SparseLinearDRIV 属性) (econml.panel.dml.DynamicDML 属性) (econml.sklearn_extensions.linear_model.DebiasedLasso 属性) (econml.sklearn_extensions.linear_model.MultiOutputDebiasedLasso 属性) (econml.sklearn_extensions.linear_model.SelectiveRegularization 属性) (econml.sklearn_extensions.linear_model.StatsModelsLinearRegression 属性) (econml.sklearn_extensions.linear_model.StatsModelsRLM 属性) (econml.sklearn_extensions.linear_model.WeightedLasso 属性) intercept_() (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) intercept__inference() (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorMixin 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.panel.dml.DynamicDML 方法)

intercept__interval() (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorMixin 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.panel.dml.DynamicDML 方法) (econml.sklearn_extensions.linear_model.DebiasedLasso 方法) (econml.sklearn_extensions.linear_model.MultiOutputDebiasedLasso 方法) (econml.sklearn_extensions.linear_model.StatsModelsLinearRegression 方法) (econml.sklearn_extensions.linear_model.StatsModelsRLM 方法) intercept_stderr_ (econml.sklearn_extensions.linear_model.DebiasedLasso 属性) (econml.sklearn_extensions.linear_model.MultiOutputDebiasedLasso 属性) (econml.sklearn_extensions.linear_model.StatsModelsLinearRegression 属性) (econml.sklearn_extensions.linear_model.StatsModelsRLM 属性) interpret() (econml.cate_interpreter.SingleTreeCateInterpreter 方法) (econml.cate_interpreter.SingleTreePolicyInterpreter 方法) inverse_onehot() (在 econml.utilities 模块中) iscoo() (在 econml.utilities 模块中) issparse() (在 econml.utilities 模块中)

J

jacify_featurizer() (在 econml.utilities 模块中)

K

KernelDML (econml.dml 中的类)

L

线性异质性 线性处理效应 LinearCateEstimator (econml._cate_estimator 中的类) LinearDML (econml.dml 中的类) LinearDRIV (econml.iv.dr 中的类) LinearDRLearner (econml.dr 中的类) LinearIntentToTreatDRIV (econml.iv.dr 中的类)

LinearModelFinalCateEstimatorDiscreteMixin (econml._cate_estimator 中的类) LinearModelFinalCateEstimatorMixin (econml._cate_estimator 中的类) LinearModelFinalInference (econml.inference 中的类) LinearModelFinalInferenceDiscrete (econml.inference 中的类) LinearMomentGRFCriterion (econml.grf 中的类) LinearMomentGRFCriterionMSE (econml.grf 中的类) local_causal_effect() (econml.solutions.causal_analysis.CausalAnalysis 方法)

M

marginal_ate() (econml._cate_estimator.BaseCateEstimator 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.LinearCateEstimator 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorMixin 方法) (econml._cate_estimator.TreatmentExpansionMixin 方法) (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.iv.nnet.DeepIV 方法) (econml.iv.sieve.SieveTSLS 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法) marginal_ate_inference() (econml._cate_estimator.BaseCateEstimator 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.LinearCateEstimator 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorMixin 方法) (econml._cate_estimator.TreatmentExpansionMixin 方法) (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.iv.nnet.DeepIV 方法) (econml.iv.sieve.SieveTSLS 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法) marginal_ate_interval() (econml._cate_estimator.BaseCateEstimator 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.LinearCateEstimator 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorMixin 方法) (econml._cate_estimator.TreatmentExpansionMixin 方法) (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.iv.nnet.DeepIV 方法) (econml.iv.sieve.SieveTSLS 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法) marginal_effect() (econml._cate_estimator.BaseCateEstimator 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.LinearCateEstimator 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorMixin 方法) (econml._cate_estimator.TreatmentExpansionMixin 方法) (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.iv.nnet.DeepIV 方法) (econml.iv.sieve.SieveTSLS 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法) (econml.score.EnsembleCateEstimator 方法) marginal_effect_inference() (econml._cate_estimator.BaseCateEstimator 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.LinearCateEstimator 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorMixin 方法) (econml._cate_estimator.TreatmentExpansionMixin 方法) (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.iv.nnet.DeepIV 方法) (econml.iv.sieve.SieveTSLS 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法)

marginal_effect_interval() (econml._cate_estimator.BaseCateEstimator 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.ForestModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.LinearCateEstimator 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorMixin 方法) (econml._cate_estimator.TreatmentExpansionMixin 方法) (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.iv.nnet.DeepIV 方法) (econml.iv.sieve.SieveTSLS 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法) max_features_ (econml.grf._base_grftree.GRFTree 属性) (econml.policy.PolicyTree 属性) mean_point (econml.inference.PopulationSummaryResults 属性) MissingModule (econml.utilities 中的类) model_cate (econml.dml.CausalForestDML 属性) (econml.dml.DML 属性) (econml.dml.KernelDML 属性) (econml.dml.LinearDML 属性) (econml.dml.NonParamDML 属性) (econml.dml.SparseLinearDML 属性) (econml.iv.dml.DMLIV 属性) (econml.iv.dml.NonParamDMLIV 属性) (econml.iv.dml.OrthoIV 属性) (econml.iv.dr.DRIV 属性) (econml.iv.dr.ForestDRIV 属性) (econml.iv.dr.IntentToTreatDRIV 属性) (econml.iv.dr.LinearDRIV 属性) (econml.iv.dr.LinearIntentToTreatDRIV 属性) (econml.iv.dr.SparseLinearDRIV 属性) model_cate() (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) models_nuisance_ (econml._ortho_learner._OrthoLearner 属性) models_prel_model_effect (econml.iv.dr.DRIV 属性) (econml.iv.dr.ForestDRIV 属性) (econml.iv.dr.IntentToTreatDRIV 属性) (econml.iv.dr.LinearDRIV 属性) (econml.iv.dr.LinearIntentToTreatDRIV 属性) (econml.iv.dr.SparseLinearDRIV 属性) models_propensity (econml.dr.DRLearner 属性) (econml.dr.ForestDRLearner 属性) (econml.dr.LinearDRLearner 属性) (econml.dr.SparseLinearDRLearner 属性) models_regression (econml.dr.DRLearner 属性) (econml.dr.ForestDRLearner 属性) (econml.dr.LinearDRLearner 属性) (econml.dr.SparseLinearDRLearner 属性) models_t (econml.dml._rlearner._RLearner 属性) (econml.dml.CausalForestDML 属性) (econml.dml.DML 属性) (econml.dml.KernelDML 属性) (econml.dml.LinearDML 属性) (econml.dml.NonParamDML 属性) (econml.dml.SparseLinearDML 属性) models_t_xw (econml.iv.dml.DMLIV 属性) (econml.iv.dml.NonParamDMLIV 属性) (econml.iv.dml.OrthoIV 属性) (econml.iv.dr.DRIV 属性) (econml.iv.dr.ForestDRIV 属性) (econml.iv.dr.LinearDRIV 属性) (econml.iv.dr.SparseLinearDRIV 属性) models_t_xwz (econml.iv.dml.DMLIV 属性) (econml.iv.dml.NonParamDMLIV 属性) (econml.iv.dml.OrthoIV 属性) (econml.iv.dr.DRIV 属性) (econml.iv.dr.ForestDRIV 属性) (econml.iv.dr.IntentToTreatDRIV 属性) (econml.iv.dr.LinearDRIV 属性) (econml.iv.dr.LinearIntentToTreatDRIV 属性) (econml.iv.dr.SparseLinearDRIV 属性) models_tz_xw (econml.iv.dr.DRIV 属性) (econml.iv.dr.ForestDRIV 属性) (econml.iv.dr.LinearDRIV 属性) (econml.iv.dr.SparseLinearDRIV 属性) models_y (econml.dml._rlearner._RLearner 属性) (econml.dml.CausalForestDML 属性) (econml.dml.DML 属性) (econml.dml.KernelDML 属性) (econml.dml.LinearDML 属性) (econml.dml.NonParamDML 属性) (econml.dml.SparseLinearDML 属性) models_y_xw (econml.iv.dml.DMLIV 属性) (econml.iv.dml.NonParamDMLIV 属性) (econml.iv.dml.OrthoIV 属性) (econml.iv.dr.DRIV 属性) (econml.iv.dr.ForestDRIV 属性) (econml.iv.dr.IntentToTreatDRIV 属性) (econml.iv.dr.LinearDRIV 属性) (econml.iv.dr.LinearIntentToTreatDRIV 属性) (econml.iv.dr.SparseLinearDRIV 属性) models_z_xw (econml.iv.dml.OrthoIV 属性) (econml.iv.dr.DRIV 属性) (econml.iv.dr.ForestDRIV 属性) (econml.iv.dr.LinearDRIV 属性) (econml.iv.dr.SparseLinearDRIV 属性) 模块 econml._cate_estimator econml._ortho_learner econml.dml._rlearner econml.inference._bootstrap econml.utilities moment_and_mean_gradient_estimator_func() (econml.orf.DROrthoForest 静态方法) MultiModelWrapper (econml.utilities 中的类) MultiOutputDebiasedLasso (econml.sklearn_extensions.linear_model 中的类) MultiOutputGRF (econml.grf 中的类) multitask_model_cate (econml.dr.DRLearner 属性) (econml.dr.LinearDRLearner 属性) (econml.dr.SparseLinearDRLearner 属性) multitask_model_cate() (econml.dr.ForestDRLearner 方法)

N

n_features_ (econml.grf._base_grftree.GRFTree 属性) n_features_in_ (econml.policy.PolicyTree 属性) n_iter_ (econml.sklearn_extensions.linear_model.DebiasedLasso 属性) (econml.sklearn_extensions.linear_model.WeightedLasso 属性) n_outputs_ (econml.grf._base_grftree.GRFTree 属性) n_relevant_outputs_ (econml.grf._base_grftree.GRFTree 属性) n_samples_ (econml.grf._base_grftree.GRFTree 属性) (econml.policy.PolicyTree 属性) n_y_ (econml.grf._base_grftree.GRFTree 属性) ndim() (在 econml.utilities 模块中) NonParamDML (econml.dml 中的类) NonParamDMLIV (econml.iv.dml 中的类) NormalInferenceResults (econml.inference 中的类) nuisance_estimator_generator() (econml.orf.DROrthoForest 静态方法) nuisance_models_ (econml.solutions.causal_analysis.CausalAnalysis 属性) nuisance_scores_ (econml._ortho_learner._OrthoLearner 属性) nuisance_scores_prel_model_effect (econml.iv.dr.DRIV 属性) (econml.iv.dr.ForestDRIV 属性) (econml.iv.dr.IntentToTreatDRIV 属性) (econml.iv.dr.LinearDRIV 属性) (econml.iv.dr.LinearIntentToTreatDRIV 属性) (econml.iv.dr.SparseLinearDRIV 属性) nuisance_scores_propensity (econml.dr.DRLearner 属性) (econml.dr.ForestDRLearner 属性) (econml.dr.LinearDRLearner 属性) (econml.dr.SparseLinearDRLearner 属性) nuisance_scores_regression (econml.dr.DRLearner 属性) (econml.dr.ForestDRLearner 属性) (econml.dr.LinearDRLearner 属性) (econml.dr.SparseLinearDRLearner 属性) nuisance_scores_t (econml.dml._rlearner._RLearner 属性) nuisance_scores_t_xw (econml.iv.dml.DMLIV 属性) (econml.iv.dml.NonParamDMLIV 属性) (econml.iv.dml.OrthoIV 属性) (econml.iv.dr.DRIV 属性) (econml.iv.dr.ForestDRIV 属性) (econml.iv.dr.LinearDRIV 属性) (econml.iv.dr.SparseLinearDRIV 属性)

nuisance_scores_t_xwz (econml.iv.dml.DMLIV 属性) (econml.iv.dml.NonParamDMLIV 属性) (econml.iv.dml.OrthoIV 属性) (econml.iv.dr.DRIV 属性) (econml.iv.dr.ForestDRIV 属性) (econml.iv.dr.IntentToTreatDRIV 属性) (econml.iv.dr.LinearDRIV 属性) (econml.iv.dr.LinearIntentToTreatDRIV 属性) (econml.iv.dr.SparseLinearDRIV 属性) nuisance_scores_tz_xw (econml.iv.dr.DRIV 属性) (econml.iv.dr.ForestDRIV 属性) (econml.iv.dr.LinearDRIV 属性) (econml.iv.dr.SparseLinearDRIV 属性) nuisance_scores_y (econml.dml._rlearner._RLearner 属性) nuisance_scores_y_xw (econml.iv.dml.DMLIV 属性) (econml.iv.dml.NonParamDMLIV 属性) (econml.iv.dml.OrthoIV 属性) (econml.iv.dr.DRIV 属性) (econml.iv.dr.ForestDRIV 属性) (econml.iv.dr.IntentToTreatDRIV 属性) (econml.iv.dr.LinearDRIV 属性) (econml.iv.dr.LinearIntentToTreatDRIV 属性) (econml.iv.dr.SparseLinearDRIV 属性) nuisance_scores_z_xw (econml.iv.dml.OrthoIV 属性) (econml.iv.dr.DRIV 属性) (econml.iv.dr.ForestDRIV 属性) (econml.iv.dr.LinearDRIV 属性) (econml.iv.dr.SparseLinearDRIV 属性) nuisances (econml._ortho_learner.CachedValues 属性)

O

one_hot_encoder() (在 econml.utilities 模块中) oob_predict() (econml.grf._base_grf.BaseGRF 方法) (econml.grf.CausalForest 方法) (econml.grf.CausalIVForest 方法) (econml.grf.RegressionForest 方法)

ortho_learner_model_final_ (econml._ortho_learner._OrthoLearner 属性) OrthoIV (econml.iv.dml 中的类)

P

parameter_estimator_func() (econml.orf.DROrthoForest 静态方法) partial_fit() (econml.sklearn_extensions.linear_model.MultiOutputDebiasedLasso 方法) path() (econml.sklearn_extensions.linear_model.DebiasedLasso 静态方法) (econml.sklearn_extensions.linear_model.WeightedLasso 静态方法) (econml.sklearn_extensions.linear_model.WeightedLassoCV 静态方法) (econml.sklearn_extensions.linear_model.WeightedMultiTaskLassoCV 静态方法) penalized_model (econml.sklearn_extensions.linear_model.SelectiveRegularization 属性) percentile_point() (econml.inference.PopulationSummaryResults 方法) plot() (econml.cate_interpreter.SingleTreeCateInterpreter 方法) (econml.cate_interpreter.SingleTreePolicyInterpreter 方法) (econml.policy.DRPolicyForest 方法) (econml.policy.DRPolicyTree 方法) (econml.policy.PolicyTree 方法) plot_cal() (econml.validate.CalibrationEvaluationResults 方法) (econml.validate.EvaluationResults 方法) plot_heterogeneity_tree() (econml.solutions.causal_analysis.CausalAnalysis 方法) plot_policy_tree() (econml.solutions.causal_analysis.CausalAnalysis 方法) plot_qini() (econml.validate.EvaluationResults 方法) plot_toc() (econml.validate.EvaluationResults 方法) plot_uplift() (econml.validate.UpliftEvaluationResults 方法) point_estimate (econml.inference.EmpiricalInferenceResults 属性) (econml.inference.NormalInferenceResults 属性) policy_feature_names() (econml.policy.DRPolicyForest 方法) (econml.policy.DRPolicyTree 方法) policy_model_ (econml.policy.DRPolicyForest 属性) (econml.policy.DRPolicyTree 属性) policy_treatment_names() (econml.policy.DRPolicyForest 方法) (econml.policy.DRPolicyTree 方法) policy_value_ (econml.cate_interpreter.SingleTreePolicyInterpreter 属性) (econml.policy.PolicyTree 属性) PolicyForest (econml.policy 中的类) PolicyTree (econml.policy 中的类) population_summary() (econml.inference.EmpiricalInferenceResults 方法) (econml.inference.NormalInferenceResults 方法) PopulationSummaryResults (econml.inference 中的类) predict() (econml.grf._base_grf.BaseGRF 方法) (econml.grf._base_grftree.GRFTree 方法) (econml.grf.CausalForest 方法) (econml.grf.CausalIVForest 方法) (econml.grf.RegressionForest 方法) (econml.iv.nnet.DeepIV 方法) (econml.policy.DRPolicyForest 方法) (econml.policy.DRPolicyTree 方法) (econml.policy.PolicyForest 方法) (econml.policy.PolicyTree 方法) (econml.sklearn_extensions.linear_model.DebiasedLasso 方法) (econml.sklearn_extensions.linear_model.MultiOutputDebiasedLasso 方法) (econml.sklearn_extensions.linear_model.SelectiveRegularization 方法) (econml.sklearn_extensions.linear_model.StatsModelsLinearRegression 方法) (econml.sklearn_extensions.linear_model.StatsModelsRLM 方法) (econml.sklearn_extensions.linear_model.WeightedLasso 方法) (econml.sklearn_extensions.linear_model.WeightedLassoCV 方法) (econml.sklearn_extensions.linear_model.WeightedMultiTaskLassoCV 方法) (econml.utilities.MultiModelWrapper 方法) (econml.utilities.WeightedModelWrapper 方法) predict_alpha_and_jac() (econml.grf._base_grf.BaseGRF 方法) (econml.grf._base_grftree.GRFTree 方法) (econml.grf.CausalForest 方法) (econml.grf.CausalIVForest 方法) (econml.grf.RegressionForest 方法) predict_and_var() (econml.grf._base_grf.BaseGRF 方法) (econml.grf.CausalForest 方法) (econml.grf.CausalIVForest 方法) (econml.grf.RegressionForest 方法) predict_full() (econml.grf._base_grf.BaseGRF 方法) (econml.grf._base_grftree.GRFTree 方法) (econml.grf.CausalForest 方法) (econml.grf.CausalIVForest 方法) (econml.grf.RegressionForest 方法)

predict_interval() (econml.grf._base_grf.BaseGRF 方法) (econml.grf.CausalForest 方法) (econml.grf.CausalIVForest 方法) (econml.grf.RegressionForest 方法) (econml.sklearn_extensions.linear_model.DebiasedLasso 方法) (econml.sklearn_extensions.linear_model.MultiOutputDebiasedLasso 方法) (econml.sklearn_extensions.linear_model.StatsModelsLinearRegression 方法) (econml.sklearn_extensions.linear_model.StatsModelsRLM 方法) predict_moment() (econml.grf._base_grftree.GRFTree 方法) predict_moment_and_var() (econml.grf._base_grf.BaseGRF 方法) (econml.grf.CausalForest 方法) (econml.grf.CausalIVForest 方法) (econml.grf.RegressionForest 方法) predict_proba() (econml.policy.DRPolicyForest 方法) (econml.policy.DRPolicyTree 方法) (econml.policy.PolicyForest 方法) (econml.policy.PolicyTree 方法) predict_projection() (econml.grf._base_grf.BaseGRF 方法) (econml.grf.CausalForest 方法) (econml.grf.CausalIVForest 方法) (econml.grf.RegressionForest 方法) predict_projection_and_var() (econml.grf._base_grf.BaseGRF 方法) (econml.grf.CausalForest 方法) (econml.grf.CausalIVForest 方法) (econml.grf.RegressionForest 方法) predict_projection_var() (econml.grf._base_grf.BaseGRF 方法) (econml.grf.CausalForest 方法) (econml.grf.CausalIVForest 方法) (econml.grf.RegressionForest 方法) predict_tree_average() (econml.grf._base_grf.BaseGRF 方法) (econml.grf.CausalForest 方法) (econml.grf.CausalIVForest 方法) (econml.grf.RegressionForest 方法) predict_tree_average_full() (econml.grf._base_grf.BaseGRF 方法) (econml.grf.CausalForest 方法) (econml.grf.CausalIVForest 方法) (econml.grf.RegressionForest 方法) predict_value() (econml.policy.DRPolicyForest 方法) (econml.policy.DRPolicyTree 方法) (econml.policy.PolicyForest 方法) (econml.policy.PolicyTree 方法) predict_var() (econml.grf._base_grf.BaseGRF 方法) (econml.grf.CausalForest 方法) (econml.grf.CausalIVForest 方法) (econml.grf.RegressionForest 方法) prediction_stderr() (econml.grf._base_grf.BaseGRF 方法) (econml.grf.CausalForest 方法) (econml.grf.CausalIVForest 方法) (econml.grf.RegressionForest 方法) (econml.sklearn_extensions.linear_model.DebiasedLasso 方法) (econml.sklearn_extensions.linear_model.MultiOutputDebiasedLasso 方法) (econml.sklearn_extensions.linear_model.StatsModelsLinearRegression 方法) (econml.sklearn_extensions.linear_model.StatsModelsRLM 方法) prefit() (econml.inference.BootstrapInference 方法) (econml.inference.GenericModelFinalInference 方法) (econml.inference.GenericModelFinalInferenceDiscrete 方法) (econml.inference.GenericSingleTreatmentModelFinalInference 方法) (econml.inference.LinearModelFinalInference 方法) (econml.inference.LinearModelFinalInferenceDiscrete 方法) (econml.inference.StatsModelsInference 方法) (econml.inference.StatsModelsInferenceDiscrete 方法) pvalue() (econml.inference.EmpiricalInferenceResults 方法) (econml.inference.NormalInferenceResults 方法) (econml.inference.PopulationSummaryResults 方法)

R

refit_final() (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.panel.dml.DynamicDML 方法) refute_estimate() (econml.dowhy.DoWhyWrapper 方法) RegressionForest (econml.grf 中的类) render() (econml.cate_interpreter.SingleTreeCateInterpreter 方法) (econml.cate_interpreter.SingleTreePolicyInterpreter 方法) (econml.policy.DRPolicyForest 方法) (econml.policy.DRPolicyTree 方法) (econml.policy.PolicyTree 方法)

reshape() (在 econml.utilities 模块中) reshape_arrays_2dim() (在 econml.utilities 模块中) reshape_treatmentwise_effects() (在 econml.utilities 模块中) reshape_Y_T() (在 econml.utilities 模块中) residuals_ (econml.dml._rlearner._RLearner 属性) (econml.dml.CausalForestDML 属性) (econml.dml.DML 属性) (econml.dml.KernelDML 属性) (econml.dml.LinearDML 属性) (econml.dml.NonParamDML 属性) (econml.dml.SparseLinearDML 属性) (econml.iv.dml.DMLIV 属性) (econml.iv.dml.NonParamDMLIV 属性) (econml.iv.dml.OrthoIV 属性) (econml.iv.dr.DRIV 属性) (econml.iv.dr.ForestDRIV 属性) (econml.iv.dr.IntentToTreatDRIV 属性) (econml.iv.dr.LinearDRIV 属性) (econml.iv.dr.LinearIntentToTreatDRIV 属性) (econml.iv.dr.SparseLinearDRIV 属性) (econml.panel.dml.DynamicDML 属性) rlearner_model_final_ (econml.dml._rlearner._RLearner 属性) RScorer (econml.score 中的类)

S

sample_var (econml._ortho_learner.CachedValues 属性) sample_weight (econml._ortho_learner.CachedValues 属性) scale() (econml.inference.EmpiricalInferenceResults 方法) (econml.inference.NormalInferenceResults 方法) score() (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.panel.dml.DynamicDML 方法) (econml.score.RScorer 方法) (econml.sklearn_extensions.linear_model.DebiasedLasso 方法) (econml.sklearn_extensions.linear_model.MultiOutputDebiasedLasso 方法) (econml.sklearn_extensions.linear_model.SelectiveRegularization 方法) (econml.sklearn_extensions.linear_model.WeightedLasso 方法) (econml.sklearn_extensions.linear_model.WeightedLassoCV 方法) (econml.sklearn_extensions.linear_model.WeightedMultiTaskLassoCV 方法) score_ (econml._ortho_learner._OrthoLearner 属性) (econml.dml._rlearner._RLearner 属性) (econml.dr.DRLearner 属性) (econml.dr.LinearDRLearner 属性) (econml.dr.SparseLinearDRLearner 属性) second_stage_parameter_estimator_gen() (econml.orf.DROrthoForest 静态方法) selected_alpha_ (econml.sklearn_extensions.linear_model.DebiasedLasso 属性) (econml.sklearn_extensions.linear_model.MultiOutputDebiasedLasso 属性) SelectiveRegularization (econml.sklearn_extensions.linear_model 中的类) SeparateModel (econml.utilities 中的类) 将 Z 设置为预期处理 set_output() (econml.iv.sieve.DPolynomialFeatures 方法) (econml.iv.sieve.HermiteFeatures 方法) (econml.utilities.IdentityFeatures 方法) set_params() (econml.grf._base_grf.BaseGRF 方法) (econml.grf._base_grftree.GRFTree 方法) (econml.grf.CausalForest 方法) (econml.grf.CausalIVForest 方法) (econml.grf.MultiOutputGRF 方法) (econml.grf.RegressionForest 方法) (econml.policy.PolicyForest 方法) (econml.policy.PolicyTree 方法) (econml.sklearn_extensions.linear_model.DebiasedLasso 方法) (econml.sklearn_extensions.linear_model.MultiOutputDebiasedLasso 方法) (econml.sklearn_extensions.linear_model.StatsModelsLinearRegression 方法) (econml.sklearn_extensions.linear_model.StatsModelsRLM 方法) (econml.sklearn_extensions.linear_model.WeightedLasso 方法) (econml.sklearn_extensions.linear_model.WeightedLassoCV 方法) (econml.sklearn_extensions.linear_model.WeightedLassoCVWrapper 方法) (econml.sklearn_extensions.linear_model.WeightedMultiTaskLassoCV 方法) (econml.sklearn_extensions.model_selection.GridSearchCVList 方法) shap_values() (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 方法) (econml._cate_estimator.LinearCateEstimator 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorMixin 方法) (econml._ortho_learner._OrthoLearner 方法) (econml.dml._rlearner._RLearner 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.NonParamDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.DRLearner 方法) (econml.dr.ForestDRLearner 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.federated_learning.FederatedEstimator 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.NonParamDMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.DRIV 方法) (econml.iv.dr.ForestDRIV 方法) (econml.iv.dr.IntentToTreatDRIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.metalearners.DomainAdaptationLearner 方法) (econml.metalearners.SLearner 方法) (econml.metalearners.TLearner 方法) (econml.metalearners.XLearner 方法) (econml.orf.DMLOrthoForest 方法) (econml.orf.DROrthoForest 方法) (econml.panel.dml.DynamicDML 方法)

shape() (在 econml.utilities 模块中) SieveTSLS (econml.iv.sieve 中的类) SingleTreeCateInterpreter (econml.cate_interpreter 中的类) SingleTreePolicyInterpreter (econml.cate_interpreter 中的类) size() (在 econml.utilities 模块中) SLearner (econml.metalearners 中的类) sparse_coef_ (econml.sklearn_extensions.linear_model.DebiasedLasso 属性) (econml.sklearn_extensions.linear_model.WeightedLasso 属性) SparseLinearDML (econml.dml 中的类) SparseLinearDRIV (econml.iv.dr 中的类) SparseLinearDRLearner (econml.dr 中的类) split() (econml.sklearn_extensions.model_selection.WeightedKFold 方法) (econml.sklearn_extensions.model_selection.WeightedStratifiedKFold 方法) stack() (在 econml.utilities 模块中) StatsModelsCateEstimatorDiscreteMixin (econml._cate_estimator 中的类) StatsModelsCateEstimatorMixin (econml._cate_estimator 中的类) StatsModelsInference (econml.inference 中的类) StatsModelsInferenceDiscrete (econml.inference 中的类) StatsModelsLinearRegression (econml.sklearn_extensions.linear_model 中的类) StatsModelsRLM (econml.sklearn_extensions.linear_model 中的类) std_point (econml.inference.PopulationSummaryResults 属性) stderr (econml.inference.EmpiricalInferenceResults 属性) (econml.inference.NormalInferenceResults 属性) stderr_mean (econml.inference.PopulationSummaryResults 属性) stderr_point (econml.inference.PopulationSummaryResults 属性) strata_from_discrete_arrays() (在 econml.utilities 模块中) Summary (econml.utilities 中的类) summary() (econml._cate_estimator.DebiasedLassoCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.DebiasedLassoCateEstimatorMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.LinearModelFinalCateEstimatorMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorDiscreteMixin 方法) (econml._cate_estimator.StatsModelsCateEstimatorMixin 方法) (econml.dml.CausalForestDML 方法) (econml.dml.DML 方法) (econml.dml.KernelDML 方法) (econml.dml.LinearDML 方法) (econml.dml.SparseLinearDML 方法) (econml.dr.LinearDRLearner 方法) (econml.dr.SparseLinearDRLearner 方法) (econml.inference.PopulationSummaryResults 方法) (econml.iv.dml.DMLIV 方法) (econml.iv.dml.OrthoIV 方法) (econml.iv.dr.LinearDRIV 方法) (econml.iv.dr.LinearIntentToTreatDRIV 方法) (econml.iv.dr.SparseLinearDRIV 方法) (econml.panel.dml.DynamicDML 方法) (econml.validate.BLPEvaluationResults 方法) (econml.validate.CalibrationEvaluationResults 方法) (econml.validate.EvaluationResults 方法) (econml.validate.UpliftEvaluationResults 方法) summary_frame() (econml.inference.EmpiricalInferenceResults 方法) (econml.inference.NormalInferenceResults 方法)

T

T (econml._ortho_learner.CachedValues 属性) tables (econml.utilities.Summary 属性) tensordot() (在 econml.utilities 模块中) TLearner (econml.metalearners 中的类) tocoo() (在 econml.utilities 模块中) todense() (在 econml.utilities 模块中) trained_feature_indices_ (econml.solutions.causal_analysis.CausalAnalysis 属性) transform() (econml.iv.sieve.DPolynomialFeatures 方法) (econml.iv.sieve.HermiteFeatures 方法) (econml.utilities.IdentityFeatures 方法) translate() (econml.inference.EmpiricalInferenceResults 方法) (econml.inference.NormalInferenceResults 方法)

transpose() (在 econml.utilities 模块中) transpose_dictionary() (在 econml.utilities 模块中) treat() (econml.cate_interpreter.SingleTreePolicyInterpreter 方法) 处理分配 处理响应性 TreatmentExpansionMixin (econml._cate_estimator 中的类) tree_ (econml.grf._base_grftree.GRFTree 属性) (econml.policy.PolicyTree 属性) tree_model_ (econml.cate_interpreter.SingleTreePolicyInterpreter 属性) tune() (econml.dml.CausalForestDML 方法) typical_treatment_value() (econml.solutions.causal_analysis.CausalAnalysis 方法)

U

untrained_feature_indices_ (econml.solutions.causal_analysis.CausalAnalysis 属性)

UpliftEvaluationResults (econml.validate 中的类)

V

var (econml.inference.EmpiricalInferenceResults 属性) (econml.inference.NormalInferenceResults 属性)

vstack() (在 econml.utilities 模块中)

W

W (econml._ortho_learner.CachedValues 属性) WeightedKFold (econml.sklearn_extensions.model_selection 中的类) WeightedLasso (econml.sklearn_extensions.linear_model 中的类) WeightedLassoCV (econml.sklearn_extensions.linear_model 中的类)

WeightedLassoCVWrapper (econml.sklearn_extensions.linear_model 中的类) WeightedModelWrapper (econml.utilities 中的类) WeightedMultiTaskLassoCV (econml.sklearn_extensions.linear_model 中的类) WeightedStratifiedKFold (econml.sklearn_extensions.model_selection 中的类) whatif() (econml.solutions.causal_analysis.CausalAnalysis 方法)

X

X (econml._ortho_learner.CachedValues 属性)

XLearner (econml.metalearners 中的类)

Y

Y (econml._ortho_learner.CachedValues 属性)

Z

Z (econml._ortho_learner.CachedValues 属性) zstat() (econml.inference.EmpiricalInferenceResults 方法) (econml.inference.NormalInferenceResults 方法) (econml.inference.PopulationSummaryResults 方法)