SAP HANA Predictive Analysis Library (PAL)

PAL_LOGISTICR_STAT_TBL:
PAL_LOGISTICR_PMMLMODEL_TBL:
Example 2: Fitting logistic regression model with elastic net penalties
SET SCHEMA DM_PAL;
DROP TYPE PAL_ENET_LOGISTICR_DATA_T;
CREATE TYPE PAL_ENET_LOGISTICR_DATA_T AS TABLE("V1" DOUBLE, "V2" INTEGER, "V3"
DOUBLE, "V4" INTEGER, "V5" INTEGER, "V6" VARCHAR(50), "CATEGORY" INTEGER);
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_ENET_LOGISTICR_RESULT_T;
CREATE TYPE PAL_ENET_LOGISTICR_RESULT_T AS TABLE("Coefficient" varchar(50),
"CoefficientValue" DOUBLE);
DROP TYPE PAL_ENET_LOGISTICR_STAT_T;
CREATE TYPE PAL_ENET_LOGISTICR_STAT_T AS TABLE( "STATISTICS" VARCHAR(20),
"VALUE" DOUBLE);
DROP TYPE PAL_ENET_LOGISTICR_PMMLMODEL_T;
CREATE TYPE PAL_ENET_LOGISTICR_PMMLMODEL_T AS TABLE( "ID" INTEGER, "PMMLMODEL"
VARCHAR(5000));
DROP TABLE PAL_ENET_LOGISTICR_PDATA_TBL;
CREATE COLUMN TABLE PAL_ENET_LOGISTICR_PDATA_TBL("POSITION" INT, "SCHEMA_NAME"
NVARCHAR(256), "TYPE_NAME" NVARCHAR(256), "PARAMETER_TYPE" VARCHAR(7));
INSERT INTO PAL_ENET_LOGISTICR_PDATA_TBL VALUES (1, 'DM_PAL',
'PAL_ENET_LOGISTICR_DATA_T', 'IN');
INSERT INTO PAL_ENET_LOGISTICR_PDATA_TBL VALUES (2, 'DM_PAL', 'PAL_CONTROL_T',
'IN');
INSERT INTO PAL_ENET_LOGISTICR_PDATA_TBL VALUES (3, 'DM_PAL',
'PAL_ENET_LOGISTICR_RESULT_T', 'OUT');
INSERT INTO PAL_ENET_LOGISTICR_PDATA_TBL VALUES (4, 'DM_PAL',
'PAL_ENET_LOGISTICR_STAT_T', 'OUT');
INSERT INTO PAL_ENET_LOGISTICR_PDATA_TBL VALUES (5, 'DM_PAL',
'PAL_ENET_LOGISTICR_PMMLMODEL_T', 'OUT');
CALL SYS.AFLLANG_WRAPPER_PROCEDURE_DROP('DM_PAL', 'PAL_ENET_LOGISTICR_PROC');
CALL SYS.AFLLANG_WRAPPER_PROCEDURE_CREATE('AFLPAL','LOGISTICREGRESSION',
'DM_PAL', 'PAL_ENET_LOGISTICR_PROC',PAL_ENET_LOGISTICR_PDATA_TBL);
DROP TABLE PAL_ENET_LOGISTICR_DATA_TBL;
CREATE COLUMN TABLE PAL_ENET_LOGISTICR_DATA_TBL LIKE PAL_ENET_LOGISTICR_DATA_T;
INSERT INTO PAL_ENET_LOGISTICR_DATA_TBL VALUES (4,1, 0.86,0,0, 'blue', 1);
INSERT INTO PAL_ENET_LOGISTICR_DATA_TBL VALUES (8,0, 0.45,1,2, 'blue', 1);
INSERT INTO PAL_ENET_LOGISTICR_DATA_TBL VALUES (7,1, 0.99,1,2, 'yellow', 0);
INSERT INTO PAL_ENET_LOGISTICR_DATA_TBL VALUES (12,1, 0.84,2,2, 'red', 1);
INSERT INTO PAL_ENET_LOGISTICR_DATA_TBL VALUES (6,1, 0.85,2,2, 'red', 0);
INSERT INTO PAL_ENET_LOGISTICR_DATA_TBL VALUES (9,0, 0.67,3,3, 'yellow', 0);
INSERT INTO PAL_ENET_LOGISTICR_DATA_TBL VALUES (10,1, 0.91,2,2 ,'yellow', 0);
INSERT INTO PAL_ENET_LOGISTICR_DATA_TBL VALUES (14,0, 0.29, 0,0, 'red', 1);
INSERT INTO PAL_ENET_LOGISTICR_DATA_TBL VALUES (7,0, 0.88, 1,0, 'yellow', 1);
DROP TABLE #PAL_CONTROL_TBL;
CREATE LOCAL TEMPORARY COLUMN TABLE #PAL_CONTROL_TBL ("NAME" VARCHAR(50),
"INTARGS" INTEGER, "DOUBLEARGS" DOUBLE, "STRINGARGS" VARCHAR(100));
INSERT INTO #PAL_CONTROL_TBL VALUES ('METHOD', 2, null, null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('CATEGORY_COL', 1, null, null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('CATEGORY_COL', 3, null, null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('CATEGORY_COL', 4, null, null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('PMML_EXPORT', 1, null, null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('ENET_LAMBDA', null, 0.03613, null);
INSERT INTO #PAL_CONTROL_TBL VALUES ('ENET_ALPHA', null, 0.7, null);
SAP HANA Predictive Analysis Library (PAL)
PAL Functions P U B L I C 173