SAP HANA Predictive Analysis Library (PAL)

Table 271:
Name Data Type Description
MEASURE_NAME Varchar Specifies measure name:
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MPE: Mean percentage error
MSE: Mean squared error
RMSE: Root mean squared error
ET: Error total
MAD: Mean absolute deviation
MASE: Out-of-sample mean absolute
scaled error
WMAPE: Weighted mean absolute
percentage error
SMAPE: Symmetric mean absolute
percentage error
MAPE: Mean absolute percentage
error
Optional Parameters
None.
Output Table
Table 272:
Table Column Column Data Type Description
Result 1st column Varchar or nvarchar Name of accuracy measures
2nd column Double Value of accuracy measures
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_FORECASTACCURACYMEASURES_DATA_T;
CREATE TYPE PAL_FORECASTACCURACYMEASURES_DATA_T AS TABLE(
"ACTUALCOL" DOUBLE,
"FORECASTCOL" 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_FORECASTACCURACYMEASURES_RESULT_T;
CREATE TYPE PAL_FORECASTACCURACYMEASURES_RESULT_T AS TABLE(
"NAME" VARCHAR(50),
SAP HANA Predictive Analysis Library (PAL)
PAL Functions P U B L I C 367