SAP HANA Predictive Analysis Library (PAL)

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USER1 has been assigned the AFLPM_CREATOR_ERASER_EXECUTE role; and
USER1 has been assigned the AFL__SYS_AFL_AFLPAL_EXECUTE or
AFL__SYS_AFL_AFLPAL_EXECUTE_WITH_GRANT_OPTION role.
SET SCHEMA DM_PAL;
DROP TYPE PAL_NBCTRAIN_TRAININGSET_T;
CREATE TYPE PAL_NBCTRAIN_TRAININGSET_T AS TABLE(
"HomeOwner" VARCHAR (100),
"MaritalStatus" VARCHAR (100),
"AnnualIncome" DOUBLE,
"DefaultedBorrower" VARCHAR (100)
);
DROP TYPE PAL_CONTROL_T;
CREATE TYPE PAL_CONTROL_T AS TABLE(
"NAME" VARCHAR (100),
"INTARGS" INTEGER,
"DOUBLEARGS" DOUBLE,
"STRINGARGS" VARCHAR (100)
);
DROP TYPE PAL_NBC_MODEL_T;
CREATE TYPE PAL_NBC_MODEL_T AS TABLE(
"ID" INTEGER,
"JSONSTRING" VARCHAR(5000)
);
DROP TABLE PAL_NBCTRAIN_PDATA_TBL;
CREATE COLUMN TABLE PAL_NBCTRAIN_PDATA_TBL(
"POSITION" INT,
"SCHEMA_NAME" NVARCHAR(256),
"TYPE_NAME" NVARCHAR(256),
"PARAMETER_TYPE" VARCHAR(7)
);
INSERT INTO PAL_NBCTRAIN_PDATA_TBL VALUES (1, 'DM_PAL',
'PAL_NBCTRAIN_TRAININGSET_T', 'IN');
INSERT INTO PAL_NBCTRAIN_PDATA_TBL VALUES (2, 'DM_PAL', 'PAL_CONTROL_T', 'IN');
INSERT INTO PAL_NBCTRAIN_PDATA_TBL VALUES (3, 'DM_PAL', 'PAL_NBC_MODEL_T',
'OUT');
CALL "SYS".AFLLANG_WRAPPER_PROCEDURE_DROP('DM_PAL', 'PAL_NBCTRAIN_PROC');
CALL "SYS".AFLLANG_WRAPPER_PROCEDURE_CREATE('AFLPAL', 'NBCTRAIN', 'DM_PAL',
'PAL_NBCTRAIN_PROC', PAL_NBCTRAIN_PDATA_TBL);
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 ('YES','Single',125,'NO');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('NO','Married',100,'NO');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('NO','Single',70,'NO');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('YES','Married',120,'NO');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('NO','Divorced',95,'YES');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('NO','Married',60,'NO');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('YES','Divorced',220,'NO');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('NO','Single',85,'YES');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('NO','Married',75,'NO');
INSERT INTO PAL_NBCTRAIN_TRAININGSET_TBL VALUES ('NO','Single',90,'YES');
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 ('LAPLACE', null,1.0,null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('MODEL_FORMAT', 1,null,null);
DROP TABLE NBC_PAL_NBC_MODEL_TBL;
CREATE COLUMN TABLE NBC_PAL_NBC_MODEL_TBL LIKE PAL_NBC_MODEL_T;
CALL "DM_PAL".PAL_NBCTRAIN_PROC(PAL_NBCTRAIN_TRAININGSET_TBL,
"#PAL_CONTROL_TBL", NBC_PAL_NBC_MODEL_TBL) with overview;
SAP HANA Predictive Analysis Library (PAL)
PAL Functions P U B L I C 197