SAP HANA Predictive Analysis Library (PAL)

Table 408:
Name Data Type Default Value Description
SKEWNESS_TYPE Integer 1 Calculation type for skewness.
● 0: Definition 1
● 1: Definition 2
● 2: Definition 3
KRUTOSIS_TYPE Integer 1 Calculation type for kurtosis.
● 0: Definition 1
● 1: Definition 2
● 2: Definition 3
DATASET_TYPE Integer 0 Type of the input dataset.
●
●
0: Sample dataset
1: Population dataset
Output Table
Table 409:
Table Column Column Data Type Description
Result 1st column Varchar or nvarchar Name of univariate statistics
Other columns Double Value for different statistics.
The column number and order
must be the same as
those of the input table.
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_UNIVARSTAT_DATA_T;
CREATE TYPE PAL_UNIVARSTAT_DATA_T AS TABLE("X" INTEGER, "Y" 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_UNIVARSTAT_RESULT_T;
CREATE TYPE PAL_UNIVARSTAT_RESULT_T AS TABLE(
"STATISTICSNAME" VARCHAR(100),
"VALUEX" DOUBLE,
"VALUEY" DOUBLE
);
DROP TABLE PAL_UNIVARSTAT_PDATA_TBL;
CREATE COLUMN TABLE PAL_UNIVARSTAT_PDATA_TBL("POSITION" INT, "SCHEMA_NAME"
NVARCHAR(256), "TYPE_NAME" NVARCHAR(256), "PARAMETER_TYPE" VARCHAR(7));
SAP HANA Predictive Analysis Library (PAL)
PAL Functions P U B L I C 535