SAP HANA Predictive Analysis Library (PAL)

Name Data Type Default Value Description Dependency
PROBABILITY Integer 0 If you want to output
probability when scoring,
set this to 1.
Note: Setting this to 1
will severely degrade
the training performance.
Use the default
value (0) unless you
want to output probabilities
when scoring.
Output Tables
Table 170:
Table Column Column Data Type Description
Model Result 1st column Varchar, nvarchar, or integer ID
2nd column Varchar Model content
Example
Assume that:
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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.
Example 1: Support vector classification
SET SCHEMA DM_PAL;
DROP TYPE PAL_SVM_TRAINING_T;
CREATE TYPE PAL_SVM_TRAINING_T AS TABLE (
ID INTEGER,
ATTRIBUTE1 DOUBLE,
ATTRIBUTE2 DOUBLE,
ATTRIBUTE3 DOUBLE,
ATTRIBUTE4 VARCHAR(10),
LABEL 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_SVM_MODEL_T;
CREATE TYPE PAL_SVM_MODEL_T AS TABLE( ID VARCHAR(50), MODEL VARCHAR(5000));
DROP TABLE PAL_SVM_PDATA_TBL;
CREATE TABLE PAL_SVM_PDATA_TBL("POSITION" INT, "SCHEMA_NAME" NVARCHAR(256),
"TYPE_NAME" NVARCHAR(256), "PARAMETER_TYPE" VARCHAR(7));
INSERT INTO PAL_SVM_PDATA_TBL VALUES (1,'DM_PAL','PAL_SVM_TRAINING_T','IN');
SAP HANA Predictive Analysis Library (PAL)
PAL Functions P U B L I C 231