SAP HANA Predictive Analysis Library (PAL)

"MODEL" VARCHAR(5000)
);
DROP TYPE PAL_RF_SCORING_RESULT_T;
CREATE TYPE PAL_RF_SCORING_RESULT_T AS TABLE("ID" INTEGER, "SCORING"
VARCHAR(50), "PROB" DOUBLE);
DROP TYPE PAL_CONTROL_T;
CREATE TYPE PAL_CONTROL_T AS TABLE(
"NAME" VARCHAR(100),
"INTARGS" INTEGER,
"DOUBLEARGS" DOUBLE,
"STRINGARGS" VARCHAR(100)
);
DROP TABLE PAL_RF_SCORING_PDATA_TBL;
CREATE COLUMN TABLE PAL_RF_SCORING_PDATA_TBL (
"POSITION" INT,
"SCHEMA_NAME" NVARCHAR(256),
"TYPE_NAME" NVARCHAR(256),
"PARAMETER_TYPE" VARCHAR(7)
);
INSERT INTO PAL_RF_SCORING_PDATA_TBL VALUES (1, 'DM_PAL',
'PAL_RF_SCORING_DATA_T', 'IN');
INSERT INTO PAL_RF_SCORING_PDATA_TBL VALUES (2, 'DM_PAL', 'PAL_CONTROL_T', 'IN');
INSERT INTO PAL_RF_SCORING_PDATA_TBL VALUES (3, 'DM_PAL',
'PAL_RF_SCORING_MODEL_T', 'IN');
INSERT INTO PAL_RF_SCORING_PDATA_TBL VALUES (4, 'DM_PAL',
'PAL_RF_SCORING_RESULT_T', 'OUT');
CALL "SYS".AFLLANG_WRAPPER_PROCEDURE_DROP('DM_PAL', 'PAL_RF_SCORING_PROC');
CALL "SYS".AFLLANG_WRAPPER_PROCEDURE_CREATE('AFLPAL', 'RANDOMFORESTSCORING',
'DM_PAL', 'PAL_RF_SCORING_PROC', PAL_RF_SCORING_PDATA_TBL);
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 ('IS_OUTPUT_PROBABILITY', 0, null, null);
DROP TABLE PAL_RF_SCORING_DATA_TBL;
CREATE COLUMN TABLE PAL_RF_SCORING_DATA_TBL LIKE PAL_RF_SCORING_DATA_T;
INSERT INTO PAL_RF_SCORING_DATA_TBL VALUES (0, 'Overcast', 75, -10000, 'Yes');
INSERT INTO PAL_RF_SCORING_DATA_TBL VALUES (1, 'Rain', 78, 70, 'Yes');
INSERT INTO PAL_RF_SCORING_DATA_TBL VALUES (2, 'Sunny', -10000, null, 'Yes');
INSERT INTO PAL_RF_SCORING_DATA_TBL VALUES (3, 'Sunny', 69, 70, 'Yes');
INSERT INTO PAL_RF_SCORING_DATA_TBL VALUES (4, 'Rain', null, 70, 'Yes');
INSERT INTO PAL_RF_SCORING_DATA_TBL VALUES (5, null, 70, 70, 'Yes');
INSERT INTO PAL_RF_SCORING_DATA_TBL VALUES (6, '***', 70, 70, 'Yes');
DROP TABLE PAL_RF_SCORING_RESULT_TBL;
CREATE COLUMN TABLE PAL_RF_SCORING_RESULT_TBL LIKE PAL_RF_SCORING_RESULT_T;
CALL "DM_PAL".PAL_RF_SCORING_PROC(PAL_RF_SCORING_DATA_TBL, #PAL_CONTROL_TBL,
PAL_RF_MODEL_TBL, PAL_RF_SCORING_RESULT_TBL) with OVERVIEW;
SELECT * FROM PAL_RF_SCORING_RESULT_TBL;
Expected Result
PAL_RF_SCORING_RESULT_TBL:
226 P U B L I C
SAP HANA Predictive Analysis Library (PAL)
PAL Functions