SAP HANA Predictive Analysis Library (PAL)

Table 173:
Name Data Type Default Value Description
THREAD_NUMBER Integer 1 Number of threads
VERBOSE_OUTPUT Integer 0 Output scoring probabilities
for each class
Input Model Table
Table 174:
Table Column Column Data Type Description
Model Result 1st column Integer, varchar, or nvarchar ID
2nd column Varchar or nvarchar Model content
Output Table
Table 175:
Table Column Column Data Type Description
Predict Result 1st column Integer, bigint, varchar, or
nvarchar
ID
2nd column
Integer, varchar, nvarchar, or
double
Prediction value
3rd column Double Prediction probability.
It is necessary when the
PROBABILITY parameter is
set to 1 in SVMTRAIN for
SVC.
Examples
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_SCORING_T;
CREATE TYPE PAL_SVM_SCORING_T AS TABLE ( ID INTEGER, ATTRIBUTE1 DOUBLE,
ATTRIBUTE2 DOUBLE, ATTRIBUTE3 DOUBLE, ATTRIBUTE4 VARCHAR(10));
DROP TYPE PAL_CONTROL_T;
CREATE TYPE PAL_CONTROL_T AS TABLE(
NAME VARCHAR(50),
INTARGS INTEGER,
DOUBLEARGS DOUBLE,
236 P U B L I C
SAP HANA Predictive Analysis Library (PAL)
PAL Functions