SAP HANA Predictive Analysis Library (PAL)

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_SCORING_T;
CREATE TYPE PAL_SVM_SCORING_T AS TABLE ( ID INTEGER, ATTRIBUTE1 DOUBLE,
ATTRIBUTE2 DOUBLE, ATTRIBUTE3 DOUBLE, ATTRIBUTE4 VARCHAR(10));
DROP TYPE PAL_CONTROL_T;
CREATE TYPE PAL_CONTROL_T AS TABLE(
NAME VARCHAR(50),
INTARGS INTEGER,
DOUBLEARGS DOUBLE,
STRINGARGS VARCHAR(100)
);
DROP TYPE PAL_SVM_MODEL_T;
CREATE TYPE PAL_SVM_MODEL_T AS TABLE( ID VARCHAR(50), MODEL VARCHAR(5000) );
DROP TYPE PAL_SVM_RESULT_T;
CREATE TYPE PAL_SVM_RESULT_T AS TABLE( ID INTEGER, SCORING INTEGER, PROBABILITY
DOUBLE);
DROP TABLE PAL_SVM_PDATA_TBL;
CREATE COLUMN 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,'SYSTEM','PAL_SVM_SCORING_T','IN');
INSERT INTO PAL_SVM_PDATA_TBL VALUES (2,'SYSTEM','PAL_CONTROL_T','IN');
INSERT INTO PAL_SVM_PDATA_TBL VALUES (3,'SYSTEM','PAL_SVM_MODEL_T','IN');
INSERT INTO PAL_SVM_PDATA_TBL VALUES (4,'SYSTEM','PAL_SVM_RESULT_T','OUT');
call SYS.AFLLANG_WRAPPER_PROCEDURE_DROP('SYSTEM','PAL_SVM_PREDICT');
call
SYS.AFLLANG_WRAPPER_PROCEDURE_CREATE('AFLPAL','SVMPREDICT','SYSTEM','PAL_SVM_PRED
ICT',PAL_SVM_PDATA_TBL);
DROP TABLE PAL_SVM_SCORING_TBL;
CREATE COLUMN TABLE PAL_SVM_SCORING_TBL LIKE PAL_SVM_SCORING_T;
DROP TABLE #PAL_CONTROL_TBL;
CREATE LOCAL TEMPORARY COLUMN TABLE #PAL_CONTROL_TBL LIKE PAL_CONTROL_T;
DROP TABLE PAL_SVM_RESULT_TBL;
CREATE COLUMN TABLE PAL_SVM_RESULT_TBL LIKE PAL_SVM_RESULT_T;
INSERT INTO PAL_SVM_SCORING_TBL VALUES(0,1,10,100,'A');
SAP HANA Predictive Analysis Library (PAL)
PAL Functions P U B L I C 239