SAP HANA Predictive Analysis Library (PAL)

CREATE COLUMN TABLE FUNC_TBL LIKE FUNC_T;
INSERT INTO FUNC_TBL VALUES (0, 'NBCTRAIN');
DROP TABLE PAL_NBCTRAIN_TRAININGSET_TBL;
CREATE COLUMN TABLE PAL_NBCTRAIN_TRAININGSET_TBL LIKE PAL_NBCTRAIN_TRAININGSET_T;
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('2','YES','Single',125,'NO');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('1','NO','Married',100,'NO');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('3','NO','Single',70,'NO');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('4','YES','Married',120,'NO');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('5','NO','Divorced',95,'YES');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('6','NO','Married',60,'NO');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('7','YES','Divorced',220,'NO');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('8','NO','Single',85,'YES');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('9','NO','Married',75,'NO');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('10','NO','Single',62,'YES');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('11','NO','Single',65,'YES');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('12','NO','Married',130,'YES');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('13','NO','Single',190,'NO');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('14','NO','Divorced',100,'YES');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('15','NO','Divorced',105,'YES');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('16','NO','Married',70,'NO');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('17','NO','Married',90,'NO');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('18','NO','Married',160,'YES');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('20','NO','Married',50,'YES');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('19','NO','Single',90,'NO');
DROP TABLE #PAL_CONTROL_TBL;
CREATE LOCAL TEMPORARY COLUMN TABLE #PAL_CONTROL_TBL (
"NAME" VARCHAR (100),
"INTARGS" INTEGER,
"DOUBLEARGS" DOUBLE,
"STRINGARGS" VARCHAR (100)
);
INSERT INTO #PAL_CONTROL_TBL VALUES ('THREAD_NUMBER',2,null,null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('IS_SPLIT_MODEL',0,null,null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('PARAM_SELECTION', 1,null,null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('PARAM_SELECTION_MEASURE',
null,null,'ACCURACY');
INSERT INTO #PAL_CONTROL_TBL VALUES ('NR_FOLD', 5,null,null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('MIN_LAPLACE', null,0.0,null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('MAX_LAPLACE', null,10.0,null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('LAPLACE_STEP', null,0.2,null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('MODEL_FORMAT', 1,null,null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('EVALUATION_SEED', 33,null,null);
DROP TABLE EVALUATION_RESULT_TBL;
CREATE COLUMN TABLE EVALUATION_RESULT_TBL LIKE EVALUATION_RESULT_T;
DROP TABLE SELECTED_PARAMETER_TBL;
CREATE COLUMN TABLE SELECTED_PARAMETER_TBL LIKE SELECTED_PARAMETER_T;
DROP TABLE NBC_PAL_NBC_MODEL_TBL;
CREATE COLUMN TABLE NBC_PAL_NBC_MODEL_TBL LIKE PAL_NBC_MODEL_T;
CALL "DM_PAL".PAL_PSME_NBC_PROC(FUNC_TBL, PAL_NBCTRAIN_TRAININGSET_TBL,
"#PAL_CONTROL_TBL", EVALUATION_RESULT_TBL, SELECTED_PARAMETER_TBL,
NBC_PAL_NBC_MODEL_TBL) with overview;
SELECT * FROM EVALUATION_RESULT_TBL;
SELECT * FROM SELECTED_PARAMETER_TBL;
Expected Results
EVALUATION_RESULT_TBL:
SAP HANA Predictive Analysis Library (PAL)
PAL Functions P U B L I C 211