SAP HANA Predictive Analysis Library (PAL)

CREATE COLUMN TABLE PAL_CONTROL_TBL(NAME VARCHAR (50),INTARGS INTEGER,DOUBLEARGS
DOUBLE,STRINGARGS VARCHAR (100));
INSERT INTO PAL_CONTROL_TBL VALUES ('DISTRIBUTIONNAME', null, null, 'NORMAL');
INSERT INTO PAL_CONTROL_TBL VALUES ('OPTIMAL_METHOD', 0, null, null);
DROP TABLE PAL_DISTRFIT_ESTIMATION_TBL;
CREATE COLUMN TABLE PAL_DISTRFIT_ESTIMATION_TBL(NAME VARCHAR(50),VAL
VARCHAR(50));
DROP TABLE PAL_DISTRFIT_STATISTICS_TBL;
CREATE COLUMN TABLE PAL_DISTRFIT_STATISTICS_TBL(NAME VARCHAR(50),VAL DOUBLE);
CALL DM_PAL.PAL_DISTRFIT(NPV, PAL_CONTROL_TBL, PAL_DISTRFIT_ESTIMATION_TBL,
PAL_DISTRFIT_STATISTICS_TBL) with overview;
SELECT * FROM PAL_DISTRFIT_ESTIMATION_TBL;
The expected result is as follows:
Step 4
According to the fitted model, run the Cumulative Distribution function to obtain the probability of having an
NPV of investment smaller than or equal to a given NPV of the investment.
---------------------------------------
----distribution probability process --
---------------------------------------
DROP TYPE PAL_DISTRPROB_DATA_T;
CREATE TYPE PAL_DISTRPROB_DATA_T AS TABLE(DATACOL DOUBLE);
DROP TYPE PAL_DISTRPROB_DISTRPARAM_T;
CREATE TYPE PAL_DISTRPROB_DISTRPARAM_T AS TABLE(NAME VARCHAR(50),VALUEE
VARCHAR(50));
DROP TYPE PAL_DISTRPROB_RESULT_T;
CREATE TYPE PAL_DISTRPROB_RESULT_T AS TABLE(INPUTDATA DOUBLE,PROBABILITY DOUBLE);
DROP TYPE PAL_CONTROL_T;
CREATE TYPE PAL_CONTROL_T AS TABLE(NAME VARCHAR (50),INTARGS INTEGER,DOUBLEARGS
DOUBLE,STRINGARGS VARCHAR (100));
DROP TABLE PAL_DISTRPROB_PDATA_TBL;
CREATE COLUMN TABLE PAL_DISTRPROB_PDATA_TBL("POSITION" INT, "SCHEMA_NAME"
NVARCHAR(256), "TYPE_NAME" NVARCHAR(256), "PARAMETER_TYPE" VARCHAR(7));
INSERT INTO PAL_DISTRPROB_PDATA_TBL VALUES (1, 'DM_PAL','PAL_DISTRPROB_DATA_T',
'IN');
INSERT INTO PAL_DISTRPROB_PDATA_TBL VALUES (2, 'DM_PAL',
'PAL_DISTRPROB_DISTRPARAM_T', 'IN');
INSERT INTO PAL_DISTRPROB_PDATA_TBL VALUES (3, 'DM_PAL','PAL_CONTROL_T', 'IN');
INSERT INTO PAL_DISTRPROB_PDATA_TBL VALUES (4,
'DM_PAL','PAL_DISTRPROB_RESULT_T', 'OUT');
CALL SYS.AFLLANG_WRAPPER_PROCEDURE_DROP('DM_PAL','PAL_DISTRPROB_PROC');
CALL SYS.AFLLANG_WRAPPER_PROCEDURE_CREATE('AFLPAL', 'DISTRPROB',
'DM_PAL','PAL_DISTRPROB_PROC', PAL_DISTRPROB_PDATA_TBL);
DROP TABLE PAL_DISTRPROB_DATA_TBL;
CREATE TABLE PAL_DISTRPROB_DATA_TBL LIKE PAL_DISTRPROB_DATA_T;
INSERT INTO PAL_DISTRPROB_DATA_TBL VALUES (7000);
INSERT INTO PAL_DISTRPROB_DATA_TBL VALUES (8000);
INSERT INTO PAL_DISTRPROB_DATA_TBL VALUES (9000);
INSERT INTO PAL_DISTRPROB_DATA_TBL VALUES (10000);
INSERT INTO PAL_DISTRPROB_DATA_TBL VALUES (11000);
DROP TABLE PAL_DISTRPROB_DISTRPARAM_TBL;
CREATE TABLE PAL_DISTRPROB_DISTRPARAM_TBL LIKE PAL_DISTRPROB_DISTRPARAM_T;
INSERT INTO PAL_DISTRPROB_DISTRPARAM_TBL VALUES ('DISTRIBUTIONNAME', 'Normal');
INSERT INTO PAL_DISTRPROB_DISTRPARAM_TBL VALUES ('MEAN', '100');
INSERT INTO PAL_DISTRPROB_DISTRPARAM_TBL VALUES ('VARIANCE', '1');
564 P U B L I C
SAP HANA Predictive Analysis Library (PAL)
End-to-End Scenarios