SAP HANA Predictive Analysis Library (PAL)

Name Data Type Default Value Description
MODEL_FORMAT Integer 0 Specifies model format.
●
●
0: Deserializes the tree
model from JSON format.
Other values: Deserializes
the tree model from
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 146:
Table Column Column Data Type Description
Result 1st column Integer ID
2nd column Varchar or nvarchar Predictive result
3rd column (optional) Double Confidence for the prediction
of the sample, which is a logarithmic
value of the a-posterior
probabilities.
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.
SET SCHEMA DM_PAL;
DROP TYPE PAL_NBCPREDICT_PREDICTION_T;
CREATE TYPE PAL_NBCPREDICT_PREDICTION_T AS TABLE(
"ID" INTEGER,
"HomeOwner" VARCHAR(100),
"MaritalStatus" VARCHAR(100),
"AnnualIncome" DOUBLE
);
DROP TYPE PAL_CONTROL_T;
CREATE TYPE PAL_CONTROL_T AS TABLE(
"NAME" VARCHAR (100),
"INTARGS" INTEGER,
200 P U B L I C
SAP HANA Predictive Analysis Library (PAL)
PAL Functions