SAP HANA Predictive Analysis Library (PAL)

Table 277:
Table Column Column Data Type Description
Output Parameter 1st column Varchar or nvarchar Name of related statistics.
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MSE: the statistics of
MSE (Mean Squared Error)
NUMBER_OF_ITERA­
TIONS: the sum of numbers
of iterations of
both optimizers (simulated
annealing and
Nelder Mead)
ALPHA/BETA/GAMMA:
the optimal parameters
or values set by user
(For train-and-test
scheme only) NUM­
BER_OF_TRAINING: the
size of time series used
to train
(For train-and-test
scheme only) NUM­
BER_OF_TESTING: the
size of time series used
to test
(For train-and-test
scheme only)
TEST_MSE: the statistics
of MSE calculated
from the test data
2nd column Double, varchar, or nvarchar Parameter values.
Note: If you set the MODEL­
SELECTION parameter to 1,
this column data type should
be varchar or nvarchar to
output the best model name.
Result 1st column Integer Index of timestamp
2nd column Integer or double Result of smoothing forecast
3rd column Double Error of every forecast value
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.
SAP HANA Predictive Analysis Library (PAL)
PAL Functions P U B L I C 375