Update direct.cpp

src/gausskernel/dbmind/db4ai/executor/direct.cpp

@@ -42,6 +42,12 @@ Results = Determine the parameter configuration and achieve high recognition rat
 
 #include "db4ai/db4ai_api.h"
 
+/*Function: model_ Fit
+Formal parameters: (const char * name, AlgorithmML algorithm, const Hyperparameter * hyperparameters, int nhyperp,
+Oid * typid, bool * typbyval, int16 * typlen, int ncolumns, callback_ Ml_ Fetch fetch,
+Callback_ Ml_ Rescan rescan, void * callback_ Data)
+Return value: Model*
+model training*/
 Model *model_fit(const char *name, AlgorithmML algorithm, const Hyperparameter *hyperparameters, int nhyperp,
                  Oid *typid, bool *typbyval, int16 *typlen, int ncolumns, callback_ml_fetch fetch,
                  callback_ml_rescan rescan, void *callback_data)
@@ -119,6 +125,10 @@ ModelPredictor model_prepare_predict(const Model* model)
     pred->predictor = pred->palgo->prepare_predict(pred->palgo, &model->data, model->return_type);
     return (ModelPredictor)pred;
 }
+/*Function: model_ Predict
+Formal parameters: (ModelPredictor predictor, Datum * values, bool * isnull, Oid * typid, int num_columns)
+Return value: Datum
+model prediction*/
 
 Datum model_predict(ModelPredictor predictor, Datum *values, bool *isnull, Oid *typid, int num_columns)
 {
@@ -126,11 +136,18 @@ Datum model_predict(ModelPredictor predictor, Datum *values, bool *isnull, Oid *
     return pred->palgo->predict(pred->palgo, pred->predictor, values, isnull, typid, num_columns);
 }
 
+/*Function: model_ Store
+Parameter: (const Model * model)
+Return value: None
+Model Storage*/
 void model_store(const Model *model)
 {
     store_model(model);
 }
-
+/*Function: model_ Load
+Formal parameter: (const char * modelname)
+Return value: Model*
+Model loading*/
 const Model *model_load(const char *model_name)
 {
     return get_model(model_name, false);