SAP HANA Predictive Analysis Library (PAL)

DROP TABLE CV_LR_FUNC_TBL;
CREATE COLUMN TABLE CV_LR_FUNC_TBL LIKE CV_LR_FUNC_T;
DROP TABLE CV_LR_DATA_TBL;
CREATE COLUMN TABLE CV_LR_DATA_TBL LIKE CV_LR_DATA_T;
DROP TABLE CV_LR_RESULT_TBL;
CREATE COLUMN TABLE CV_LR_RESULT_TBL LIKE CV_LR_RESULT_T;
DROP TABLE CV_LR_MODEL_TBL;
CREATE COLUMN TABLE CV_LR_MODEL_TBL LIKE CV_LR_MODEL_T;
DROP TABLE CV_LR_EVALUATION_TBL;
CREATE COLUMN TABLE CV_LR_EVALUATION_TBL LIKE CV_LR_EVALUATION_T;
DROP TABLE CV_LR_PARA_SEL_TBL;
CREATE COLUMN TABLE CV_LR_PARA_SEL_TBL LIKE CV_LR_PARA_SEL_T;
INSERT INTO #PAL_CONTROL_TBL VALUES ('METHOD', 2, null, null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('STAT_INF', 1, null, null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('PMML_EXPORT', 1, null, null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('THREAD_NUMBER',2, null,null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('PARAM_SELECTION', 1, null,null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('PARAM_SELECTION_MEASURE',
null,null,'F1_SCORE');
INSERT INTO #PAL_CONTROL_TBL VALUES ('NR_FOLD', 4, null,null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('MIN_LAMBDA', null, 0.01, null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('MAX_LAMBDA', null, 0.03, null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('LAMBDA_STEP', null,0.001,null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('EVALUATION_SEED', 1, null,null);
INSERT INTO CV_LR_FUNC_TBL VALUES (1, 'LOGISTICREGRESSION');
INSERT INTO CV_LR_DATA_TBL VALUES(1, 1, 3.4, 14.5, 'A', 0);
INSERT INTO CV_LR_DATA_TBL VALUES(2, 2, 3.5, 42.5, 'B', 1);
INSERT INTO CV_LR_DATA_TBL VALUES(3, 2, 3.6, 41.5, 'B',1);
INSERT INTO CV_LR_DATA_TBL VALUES(4, 1, 3.7, 42.5, 'B', 1);
INSERT INTO CV_LR_DATA_TBL VALUES(5, 2, 3.8, 41.5, 'B',0);
INSERT INTO CV_LR_DATA_TBL VALUES(6, 1, 3.4, 14.5,'B',0);
INSERT INTO CV_LR_DATA_TBL VALUES(7, 2, 3.5, 42.5,'B', 1);
INSERT INTO CV_LR_DATA_TBL VALUES(8, 1, 3.6, 41.5, 'B', 1);
INSERT INTO CV_LR_DATA_TBL VALUES(9, 1, 3.7, 42.5, 'B', 1);
INSERT INTO CV_LR_DATA_TBL VALUES(10, 2, 3.8, 41.5, 'B', 0);
INSERT INTO CV_LR_DATA_TBL VALUES(11, 1, 3.4, 14.5, 'B', 0);
INSERT INTO CV_LR_DATA_TBL VALUES(12, 2, 3.5, 42.5, 'B', 1);
INSERT INTO CV_LR_DATA_TBL VALUES(13, 1, 3.6, 41.5, 'A', 1);
INSERT INTO CV_LR_DATA_TBL VALUES(14, 2, 5.7, 42.5, 'A', 1);
INSERT INTO CV_LR_DATA_TBL VALUES(15, 2, 6.8, 41.5, 'A', 0);
INSERT INTO CV_LR_DATA_TBL VALUES(16, 1, 13.4, 1.5, 'C', 0);
INSERT INTO CV_LR_DATA_TBL VALUES(17, 1, 13.5, 2.5, 'C', 1);
INSERT INTO CV_LR_DATA_TBL VALUES(18, 1, 13.6, 4.5, 'D', 1);
INSERT INTO CV_LR_DATA_TBL VALUES(19, 1, 13.7, 4.5, 'D', 1);
INSERT INTO CV_LR_DATA_TBL VALUES(20, 1, 13.8, 4.5, 'B', 0);
INSERT INTO CV_LR_DATA_TBL VALUES(21, 0, 12.4, 1.5, 'B', 0);
INSERT INTO CV_LR_DATA_TBL VALUES(22, 1, 136.5, 12.5, 'B', 1);
INSERT INTO CV_LR_DATA_TBL VALUES(23, 0, 153.6, 42.5, 'A', 1);
INSERT INTO CV_LR_DATA_TBL VALUES(24, 0, 133.7, 54.5, 'A', 1);
INSERT INTO CV_LR_DATA_TBL VALUES(25, 0, 123.8, 14.5, 'C', 0);
CALL DM_PAL.PAL_CV_LR_PROC(CV_LR_FUNC_TBL, CV_LR_DATA_TBL, "#PAL_CONTROL_TBL",
CV_LR_EVALUATION_TBL, CV_LR_PARA_SEL_TBL, CV_LR_RESULT_TBL, CV_LR_MODEL_TBL)
WITH OVERVIEW;
SELECT * FROM CV_LR_EVALUATION_TBL;
SELECT * FROM CV_LR_PARA_SEL_TBL;
Expected Results
CV_LR_EVALUATION_TBL:
SAP HANA Predictive Analysis Library (PAL)
PAL Functions P U B L I C 209