SAP HANA Predictive Analysis Library (PAL)

Table 137:
Name Data Type Default Value Description
MODEL_TYPE Integer 1 ● 1: Model table should be
in non-PMML format
● 2: Model table should be
in PMML format
VERBOSE_OUTPUT Integer 0 ● 1: Outputs the probability
of all label categories
● 0: Outputs the category
of the highest probability
only
Output Table
Table 138:
Table Column Column Data Type Description
Result 1st column Integer ID
2nd column Varchar or nvarchar Predicted label for the sample
3rd column Double Confidence for the prediction
of the sample
Example
Assume that:
●
●
●
DM_PAL is a schema belonging to USER1; and
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.
Prediction with non-PMML input:
SET SCHEMA DM_PAL;
DROP TYPE PAL_LRMCTE_DATA_T;
CREATE TYPE PAL_LRMCTE_DATA_T
AS TABLE
(
"ID" INTEGER,
"V1" VARCHAR (50),
"V2" DOUBLE,
"V3" INTEGER
);
DROP TYPE PAL_LRMCTE_RESULT_T;
CREATE TYPE PAL_LRMCTE_RESULT_T
AS TABLE
(
"ID" INTEGER,
"Y" varchar(100),
"Lik" DOUBLE
SAP HANA Predictive Analysis Library (PAL)
PAL Functions P U B L I C 187