Feature engineering transform functions encapsulate variable transformations during the training phase so you can chain them to create a pipeline for operationalization.
Each TD_nameFit function outputs a table to input to the TD_nameTransform function as FitTable. For example, TD_BinCodeFit outputs a FitTable for TD_BinCodeTransform.
- Antiselect
- TD_BinCodeFit
- TD_BinCodeTransform
- TD_ColumnTransformer
- TD_FunctionFit
- TD_FunctionTransform
- TD_NonLinearCombineFit
- TD_NonLinearCombineTransform
- TD_OneHotEncodingFit
- TD_OneHotEncodingTransform
- TD_OrdinalEncodingFit
- TD_OrdinalEncodingTransform
- TD_Pivoting
- TD_PolynomialFeaturesFit
- TD_PolynomialFeaturesTransform
- TD_RandomProjectionFit
- TD_RandomProjectionMinComponents
- TD_RandomProjectionTransform
- TD_RowNormalizeFit
- TD_RowNormalizeTransform
- TD_ScaleFit
- TD_ScaleTransform
- TD_TargetEncodingFit
- TD_TargetEncodingTransform
- TD_Unpivoting