SAP HANA Predictive Analysis Library (PAL)

The following parameters are optional. If a parameter is not specified, PAL will use its default value.
Table 117:
Name Data Type Default Value Description
K_NEAREST_NEIGHBOURS Integer 1 Number of nearest neighbors
(k).
ATTRIBUTE_NUM Integer 1 Number of attributes.
VOTING_TYPE Integer 1 Voting type:
●
●
0: Majority voting
1: Distance-weighted
voting
METHOD Integer 0 Searching method.
●
●
0: Brute force searching
1: KD-tree searching
THREAD_NUMBER Integer 1 Number of threads.
Output Table
Table 118:
Table Column Column Data Type Description
Result 1st column Integer, bigint, varchar, or
nvarchar
ID
2nd column Integer, varchar, or nvarchar Class type
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_KNN_DATA_T;
CREATE TYPE PAL_KNN_DATA_T AS TABLE(
"ID" INTEGER,
"TYPE" INTEGER,
"X1" DOUBLE,
"X2" DOUBLE
);
DROP TYPE PAL_KNN_CLASSDATA_T;
CREATE TYPE PAL_KNN_CLASSDATA_T AS TABLE(
"ID" INTEGER,
"X1" DOUBLE,
"X2" DOUBLE
);
DROP TYPE PAL_KNN_RESULT_T;
CREATE TYPE PAL_KNN_RESULT_T AS TABLE(
"ID" INTEGER,
"TYPE" INTEGER
);
SAP HANA Predictive Analysis Library (PAL)
PAL Functions P U B L I C 163