SAP HANA Predictive Analysis Library (PAL)

Parameter Table
Mandatory Parameters
None.
Optional Parameters
None.
Output Table
Table 21:
Table Column Column Data Type Description
Result 1st column Integer, bigint, varchar, or
nvarchar
ID
2nd column Integer The assigned cluster number
3rd column Double Distance between a given
point and the cluster center
(K-means), nearest core object
(DBSCAN), or weight
vector (SOM).
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.
For K-means:
SET SCHEMA DM_PAL;
DROP TYPE PAL_KMEANS_DATA_T;
CREATE TYPE PAL_KMEANS_DATA_T AS TABLE(
"ID" INTEGER,
"V000" DOUBLE,
"V001" VARCHAR(2),
"V002" DOUBLE
);
DROP TYPE PAL_CONTROL_T;
CREATE TYPE PAL_CONTROL_T AS TABLE(
"NAME" VARCHAR (100),
"INTARGS" INTEGER,
"DOUBLEARGS" DOUBLE,
"STRINGARGS" VARCHAR (100)
);
DROP TYPE PAL_KMEANS_ASSIGNED_T;
CREATE TYPE PAL_KMEANS_ASSIGNED_T AS TABLE(
"ID" INTEGER,
"CLUSTER" INTEGER,
"DISTANCE" DOUBLE,
"SLIGHT_SILHOUETTE" DOUBLE
);
DROP TYPE PAL_KMEANS_CENTERS_T;
40 P U B L I C
SAP HANA Predictive Analysis Library (PAL)
PAL Functions