standard_algorithms

The standard_algorithms module compiles causal inference modeling techniques for quick application.

Contents:

• Base Models
• BaseModel
  • BaseModel.fit()
  • BaseModel.predict()
• TransformationModel
  • TransformationModel.is_treatment_positive()
  • TransformationModel.is_control_positive()
  • TransformationModel.is_control_negative()
  • TransformationModel.is_treatment_negative()
• Two Model
• TwoModel
  • TwoModel.fit()
  • TwoModel.predict()
  • TwoModel.predict_proba()
• Interaction Term
• InteractionTerm
  • InteractionTerm.fit()
  • InteractionTerm.predict()
  • InteractionTerm.predict_proba()
• Binary Class Transformation
• BinaryTransformation
  • BinaryTransformation._binary_transformation()
  • BinaryTransformation._binary_regularization()
  • BinaryTransformation.fit()
  • BinaryTransformation.predict_proba()
• Quaternary Class Transformation
• QuaternaryTransformation
  • QuaternaryTransformation._quaternary_transformation()
  • QuaternaryTransformation._quaternary_regularization()
  • QuaternaryTransformation.fit()
  • QuaternaryTransformation.predict_proba()
• Reflective Uplift Transformation
• ReflectiveUplift
  • ReflectiveUplift.fit()
  • ReflectiveUplift.predict_proba()
  • ReflectiveUplift._reflective_transformation()
  • ReflectiveUplift._reflective_weights()
• Pessimistic Uplift Transformation
• PessimisticUplift
  • PessimisticUplift.fit()
  • PessimisticUplift.predict_proba()