SAP HANA Predictive Analysis Library (PAL)

Table 95:
Table Column Column Data Type Description
Predicted data 1st column Integer ID
Other columns
Integer, double, varchar, or
nvarchar
Data to make prediction
Predicted model 1st column Varchar or nvarchar Model type
2nd column CLOB, varchar, or nvarchar Model string
Parameter Table
Mandatory Parameters
None.
Optional Parameter
The following parameter is optional. If it is not specified, PAL will use its default value.
Table 96:
Name Data Type Default Value Description
THREAD_NUMBER Integer 1 Number of threads.
Output Table
Table 97:
Table Column Column Data Type Description
Result 1st column Integer ID
Other column(s)
Same as the last column of
the training table if the model
is for classification; and double
if the model is for regression.
Classification or regression
result
Softmax (optional: only used
for classification)
1st column Integer ID
2nd column
Same as the data type of the
last column of the training
data table.
Category label for classification
3rd column Double Softmax value
Examples
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.
Table PAL_CLASSIFICATION_NN_MODEL_TBL and PAL_REGRESSION_NN_MODEL_TBL store the trained
neural network model under schema DM_PAL.
134 P U B L I C
SAP HANA Predictive Analysis Library (PAL)
PAL Functions