TD_SHAP( ON { table | view | (query) } AS InputTable ON { table | view | (query) } AS ModelTable DIMENSION OUT [PERMANENT | VOLATILE] Table GlobalExplanation (outtable) USING IDColumn ('row_id_column') TrainingFunction({'td_glm'|'td_decisionforest'|'td_xgboost'}) InputColumns({<input column> | <input column range>} [,...]') [ ModelType({'regression'|'classification'}) ] [ Detailed({'true'|'t'|'yes'|'y'|'1'|'false'|'f'|'no'|'n'|'0'})] [ Accumulate({<column> | <column range>} [,...]})] [ NumParallelTrees(<NumberofTrees>)] [ NumBoostRounds(<IterationNumber>)] )
You can call this function from:
- The FROM clause of a SELECT statement
- As part of a CREATE TABLE statement
- As part of a CREATE VIEW statement