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SAP HANA Predictive Analysis Library (PAL)

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Name Data Type Default Value Description<br />

LAPLACE Double 0 Enables or disables Laplace<br />

smoothing.<br />

●<br />

●<br />

0: Disables Laplace<br />

smoothing<br />

Positive value: Enables<br />

Laplace smoothing for<br />

discrete values<br />

Note: The LAPLACE value is<br />

only stored by JSON format<br />

models. If the PMML format<br />

is chosen, you may need to<br />

set the LAPLACE value again<br />

in the predicting phase.<br />

DISCRETIZATION Integer 0 ● 0: Disables discretization.<br />

● Other values: Uses supervised<br />

discretization<br />

to all the continuous attributes.<br />

Output Table<br />

Table 142:<br />

Table Column Column Data Type Description Constraint<br />

Result 1st column Integer ID<br />

2nd column Varchar or nvarchar Model saved as a<br />

JSON string.<br />

The table must be a<br />

column table.<br />

The maximum length<br />

is 5000.<br />

If the maximum length<br />

of the model is predicted<br />

to exceed<br />

5000, set<br />

IS_SPLIT_MODEL to a<br />

value not equal to 0.<br />

Example<br />

Assume that:<br />

●<br />

DM_<strong>PAL</strong> is a schema belonging to USER1; and<br />

196 P U B L I C<br />

<strong>SAP</strong> <strong>HANA</strong> <strong>Predictive</strong> <strong>Analysis</strong> <strong>Library</strong> (<strong>PAL</strong>)<br />

<strong>PAL</strong> Functions

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