Python UDF
This article provides information on how to use Python UDFs in Upsolver.
Last updated
This article provides information on how to use Python UDFs in Upsolver.
Last updated
You can extend Upsolver by adding user-defined Python functions through the Python UDF page (More > Python UDF). These functions can also be disabled once they are no longer needed.
You can also add PMML functions (version 3.x-4.x). These are parsed using the following library: https://github.com/jpmml/jpmml-evaluator
1. From the Python UDF page, click New Python UDF or click the vertical dots next to it to select New PMML UDF.
2. Click Select.
3. Once you've selected the file to import from your computer, click Open. A list of all the functions defined in the file along with their docstring will appear.
4. Select a function to add by clicking the toggle next to it.
5. Once selected, you will be able to configure the input parameters and return value types (e.g. Any, String, Number, Boolean).
6. Check Array next to any input or return value that should be array.
You can test out your UDF on a data source by clicking Preview.
A pane will appear on the right where you can select input parameters from an existing data source.
7. Click Add.
1. On the Python UDF page, click the pencil icon.
2. Modify the name as desired.
3. Click Update.
When adding calculated fields, disabled functions will be marked as deprecated and are not available for use.
If you disable a custom function that is already in use (e.g. in a lookup table enriched using the deprecated function), the function is still available, ensuring that nothing is broken.
2. Click Yes to confirm.
The function has now moved to the Deprecated Functions list.
2. Click Yes to confirm.
The function has now moved to the list of active functions.
1. On the Python UDF page, click the X iconnext to the function to disable.
1. On the Python UDF page, click the check iconnext to the function to enable under the Deprecated Functions list.
