SAP HANA Predictive Analysis Library (PAL)

Table 380:
Name Data Type Default Value Description
OPTIMAL_METHOD Integer 1 (for Weibull distribution)
Estimation method:
0 (for other distributions)
●
●
0: Maximum likelihood
1: Median rank (only for
Weibull distribution)
Note
For Gamma or Weibull distribution, you can specify the start values of parameters for optimization. If the
start values are not specified, the algorithm will calculate them automatically.
Output Tables
Table 381:
Table Column Column Data Type Description
Result 1st column Varchar or nvarchar Name of distribution parameters
2nd column Varchar or nvarchar Value of distribution parameters
Statistics 1st column Varchar or nvarchar Name of statistics
2nd column Double Value of statistics
Example
Assume that:
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●
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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.
SET SCHEMA DM_PAL;
DROP TYPE PAL_DISTRFIT_DATA_T;
CREATE TYPE PAL_DISTRFIT_DATA_T AS TABLE("DATACOL" DOUBLE);
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_DISTRFIT_ESTIMATION_T;
CREATE TYPE PAL_DISTRFIT_ESTIMATION_T AS TABLE(
"NAME" VARCHAR(50),
"VALUE" VARCHAR(50)
);
DROP TYPE PAL_DISTRFIT_STATISTICS_T;
CREATE TYPE PAL_DISTRFIT_STATISTICS_T AS TABLE(
"NAME" VARCHAR(50),
506 P U B L I C
SAP HANA Predictive Analysis Library (PAL)
PAL Functions