SAP HANA Predictive Analysis Library (PAL)

"V000" INTEGER,
"V001" DOUBLE,
"V002" VARCHAR(10),
"V003" INTEGER,
"LABEL" VARCHAR(2)
);
DROP TYPE PAL_TRAIN_NN_RESULT_T;
CREATE TYPE PAL_TRAIN_NN_RESULT_T AS TABLE(
"NAME" VARCHAR(100),
"VALUE" DOUBLE
);
DROP TYPE PAL_NN_MODEL_T;
CREATE TYPE PAL_NN_MODEL_T AS TABLE(
"NAME" VARCHAR(100),
"MODEL" CLOB
);
DROP TYPE PAL_CONTROL_T;
CREATE TYPE PAL_CONTROL_T AS TABLE(
"NAME" VARCHAR(100),
"INTARGS" INTEGER,
"DOUBLEARGS" DOUBLE,
"STRINGARGS" VARCHAR(100)
);
--CREATE PROCEDURE
DROP TABLE PAL_NN_PDATA_TBL;
CREATE COLUMN TABLE PAL_NN_PDATA_TBL(
"POSITION" INT,
"SCHEMA_NAME" NVARCHAR(256),
"TYPE_NAME" NVARCHAR(256),
"PARAMETER_TYPE" VARCHAR(7)
);
DELETE FROM PAL_NN_PDATA_TBL;
INSERT INTO PAL_NN_PDATA_TBL VALUES (1, 'DM_PAL', 'PAL_TRAIN_NN_DATA_T', 'IN');
INSERT INTO PAL_NN_PDATA_TBL VALUES (2, 'DM_PAL', 'PAL_CONTROL_T', 'IN');
INSERT INTO PAL_NN_PDATA_TBL VALUES (3, 'DM_PAL', 'PAL_TRAIN_NN_RESULT_T',
'OUT');
INSERT INTO PAL_NN_PDATA_TBL VALUES (4, 'DM_PAL', 'PAL_NN_MODEL_T', 'OUT');
CALL SYS.AFLLANG_WRAPPER_PROCEDURE_DROP('DM_PAL', 'PAL_NN_TRAIN');
CALL SYS.AFLLANG_WRAPPER_PROCEDURE_CREATE('AFLPAL', 'CREATEBPNN', 'DM_PAL',
'PAL_NN_TRAIN', PAL_NN_PDATA_TBL);
--RUN
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 ('HIDDEN_LAYER_SIZE', NULL, NULL, '10, 10');
INSERT INTO #PAL_CONTROL_TBL VALUES ('HIDDEN_LAYER_ACTIVE_FUNC', 1, NULL, NULL);
INSERT INTO #PAL_CONTROL_TBL VALUES ('OUTPUT_LAYER_ACTIVE_FUNC', 1, NULL, NULL);
INSERT INTO #PAL_CONTROL_TBL VALUES ('LEARNING_RATE', NULL, 0.001, NULL);
INSERT INTO #PAL_CONTROL_TBL VALUES ('MOMENTUM_FACTOR', NULL, 0.00001, NULL);
INSERT INTO #PAL_CONTROL_TBL VALUES ('FUNCTIONALITY', 0, NULL, NULL);
INSERT INTO #PAL_CONTROL_TBL VALUES ('TRAINING_STYLE', 1, NULL, NULL);
INSERT INTO #PAL_CONTROL_TBL VALUES ('CATEGORY_COL', 3, NULL, NULL);
INSERT INTO #PAL_CONTROL_TBL VALUES ('MAX_ITERATION', 100, NULL, NULL);
INSERT INTO #PAL_CONTROL_TBL VALUES ('NORMALIZATION', 1, NULL, NULL);
INSERT INTO #PAL_CONTROL_TBL VALUES ('WEIGHT_INIT', 1, NULL, NULL);
DROP TABLE PAL_TRAIN_NN_RESULT_TBL;
CREATE COLUMN TABLE PAL_TRAIN_NN_RESULT_TBL LIKE PAL_TRAIN_NN_RESULT_T;
DROP TABLE PAL_CLASSIFICATION_NN_MODEL_TBL;
CREATE COLUMN TABLE PAL_CLASSIFICATION_NN_MODEL_TBL LIKE PAL_NN_MODEL_T;
DROP TABLE PAL_TRAIN_NN_DATA_TBL;
CREATE COLUMN TABLE PAL_TRAIN_NN_DATA_TBL LIKE PAL_TRAIN_NN_DATA_T;
INSERT INTO PAL_TRAIN_NN_DATA_TBL VALUES( 1, 1.71, 'AC', 0, 'AA');
INSERT INTO PAL_TRAIN_NN_DATA_TBL VALUES( 10, 1.78, 'CA', 5, 'AB');
INSERT INTO PAL_TRAIN_NN_DATA_TBL VALUES( 17, 2.36, 'AA', 6, 'AA');
130 P U B L I C
SAP HANA Predictive Analysis Library (PAL)
PAL Functions