SAP HANA Predictive Analysis Library (PAL)

CREATE TABLE PAL_SVM_PDATA_TBL("POSITION" INT, "SCHEMA_NAME" NVARCHAR(256),
"TYPE_NAME" NVARCHAR(256), "PARAMETER_TYPE" VARCHAR(7));
INSERT INTO PAL_SVM_PDATA_TBL VALUES (1,'DM_PAL','PAL_SVM_TRAINING_T','IN');
INSERT INTO PAL_SVM_PDATA_TBL VALUES (2,'DM_PAL','PAL_CONTROL_T','IN');
INSERT INTO PAL_SVM_PDATA_TBL VALUES (3,'DM_PAL','PAL_SVM_MODEL_T','OUT');
CALL SYS.AFLLANG_WRAPPER_PROCEDURE_DROP('DM_PAL','PAL_SVM_TRAIN');
CALL
SYS.AFLLANG_WRAPPER_PROCEDURE_CREATE('AFLPAL','SVMTRAIN','DM_PAL','PAL_SVM_TRAIN'
,PAL_SVM_PDATA_TBL);
DROP TABLE PAL_SVM_TRAINING_TBL;
CREATE COLUMN TABLE PAL_SVM_TRAINING_TBL LIKE PAL_SVM_TRAINING_T;
DROP TABLE #PAL_CONTROL_TBL;
CREATE LOCAL TEMPORARY COLUMN TABLE #PAL_CONTROL_TBL LIKE PAL_CONTROL_T;
DROP TABLE PAL_SVM_MODEL_TBL_EX2;
CREATE COLUMN TABLE PAL_SVM_MODEL_TBL_EX2 LIKE PAL_SVM_MODEL_T;
INSERT INTO PAL_SVM_TRAINING_TBL VALUES(0,1,1,0,0.2,0,'qid:1',3);
INSERT INTO PAL_SVM_TRAINING_TBL VALUES(1,0,0,1,0.1,1,'qid:1',2);
INSERT INTO PAL_SVM_TRAINING_TBL VALUES(2,0,0,1,0.3,0,'qid:1',1);
INSERT INTO PAL_SVM_TRAINING_TBL VALUES(3,2,1,1,0.2,0,'qid:1',4);
INSERT INTO PAL_SVM_TRAINING_TBL VALUES(4,3,1,1,0.4,1,'qid:1',5);
INSERT INTO PAL_SVM_TRAINING_TBL VALUES(5,4,1,1,0.7,0,'qid:1',6);
INSERT INTO PAL_SVM_TRAINING_TBL VALUES(6,0,0,1,0.2,0,'qid:2',1);
INSERT INTO PAL_SVM_TRAINING_TBL VALUES(7,1,0,1,0.4,0,'qid:2',2);
INSERT INTO PAL_SVM_TRAINING_TBL VALUES(8,0,0,1,0.2,0,'qid:2',1);
INSERT INTO PAL_SVM_TRAINING_TBL VALUES(9,1,1,1,0.2,0,'qid:2',3);
INSERT INTO PAL_SVM_TRAINING_TBL VALUES(10,2,2,1,0.4,0,'qid:2',4);
INSERT INTO PAL_SVM_TRAINING_TBL VALUES(11,3,3,1,0.2,0,'qid:2',5);
INSERT INTO PAL_SVM_TRAINING_TBL VALUES(12,0,0,1,0.1,1,'qid:3',2);
INSERT INTO PAL_SVM_TRAINING_TBL VALUES(13,1,0,0,0.4,1,'qid:3',4);
INSERT INTO PAL_SVM_TRAINING_TBL VALUES(14,0,1,1,0.5,0,'qid:3',1);
INSERT INTO PAL_SVM_TRAINING_TBL VALUES(15,1,1,1,0.5,1,'qid:3',3);
INSERT INTO PAL_SVM_TRAINING_TBL VALUES(16,2,2,0,0.7,1,'qid:3',5);
INSERT INTO PAL_SVM_TRAINING_TBL VALUES(17,1,3,1,1.5,0,'qid:3',6);
INSERT INTO #PAL_CONTROL_TBL VALUES('KERNEL_TYPE',2,null,null);
INSERT INTO #PAL_CONTROL_TBL VALUES('TYPE',3,null,null);
CALL
DM_PAL.PAL_SVM_TRAIN(PAL_SVM_TRAINING_TBL,#PAL_CONTROL_TBL,PAL_SVM_MODEL_TBL_EX2)
WITH OVERVIEW;
SELECT * FROM PAL_SVM_MODEL_TBL_EX2;
Expected Result
Example 3: Support vector classification (training a model with additional information that can be used
when calculating scoring probability)
SET SCHEMA DM_PAL;
DROP TYPE PAL_SVM_TRAINING_T;
CREATE TYPE PAL_SVM_TRAINING_T AS TABLE (
ID INTEGER,
ATTRIBUTE1 DOUBLE,
ATTRIBUTE2 DOUBLE,
ATTRIBUTE3 DOUBLE,
ATTRIBUTE4 VARCHAR(10),
LABEL INTEGER
);
DROP TYPE PAL_CONTROL_T;
CREATE TYPE PAL_CONTROL_T AS TABLE(
NAME VARCHAR(50),
INTARGS INTEGER,
DOUBLEARGS DOUBLE,
STRINGARGS VARCHAR(100)
);
SAP HANA Predictive Analysis Library (PAL)
PAL Functions P U B L I C 233