SAP HANA Predictive Analysis Library (PAL)

Distribution Parameter Name Parameter Value Constraint
"Mean" "0.0"
"Variance" "1.0" Variance > 0
Weibull "DistributionName" "Weibull"
"Shape" "1.0" Shape > 0
"Scale" "1.0" Scale > 0
Gamma "DistributionName" "Gamma"
"Shape" "1.0" Shape > 0
"Scale" "1.0" Scale > 0
Note
The names and values of the distribution parameters are not case sensitive.
Parameter Table
The following parameter is optional. If it is not specified, PAL will use its default value.
Table 402:
Name Data Type Default Value Description
LOWER_UPPER Integer 0 ● 0: Calculates the inverse
of CDF
●
1: Calculates the inverse
of CCDF
Output Table
Table 403:
Table Column Column Data Type Description
Result 1st column Double Input probabilities
2nd column Double Quantiles
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.
SET SCHEMA DM_PAL;
DROP TYPE PAL_DISTRQUANTILE_DATA_T;
CREATE TYPE PAL_DISTRQUANTILE_DATA_T AS TABLE("DATACOL" DOUBLE);
DROP TYPE PAL_DISTRQUANTILE_DISTRPARAM_T;
CREATE TYPE PAL_DISTRQUANTILE_DISTRPARAM_T AS TABLE("NAME" VARCHAR(50), "VALUE"
VARCHAR(50));
DROP TYPE PAL_DISTRQUANTILE_RESULT_T;
530 P U B L I C
SAP HANA Predictive Analysis Library (PAL)
PAL Functions