SAP HANA Predictive Analysis Library (PAL)

5 Best Practices
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Create an SQL view for the input table if the table structure does not meet what is specified in this guide.
Avoid null values in the input data. You can replace the null values with the default values via an SQL
statement (SQL view or SQL update) because PAL functions cannot infer the default values.
Create the parameter table as a local temporary table to avoid table name conflicts.
If you do not use PMML export, you do not need to create a PMML output table to store the result. Just set
the PMML_EXPORT parameter to 0 and pass ? or null to the function.
When using the KMEANS function, different INIT_TYPE and NORMALIZATION settings may produce
different results. You may need to try a few combinations of these two parameters to get the best result.
When using the APRIORIRULE function, in some circumstances the rules set can be huge. To avoid an
extra long runtime, you can set the MAXITEMLENGTH parameter to a smaller number, such as 2 or 3.
576 P U B L I C
SAP HANA Predictive Analysis Library (PAL)
Best Practices