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Is it possible to save intermediate results during the mitigation process?

Yes, the `tableSaveList` parameter allows you to specify a list of tables to save after running the training program in an iteration. These tables are saved only if the specified `biasMetric` improves during that iteration.

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On: mitigateBias

How does binMapping in requestPackages work?

Controls how to map values that fall at the boundary between consecutive bins. LEFT enables you to express the bins with [], (], ..., (] notation. RIGHT enables [), [), ..., [] notation. Default is RIGHT.

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On: histogram

table.computedOnDemand

When set to True, creates the computed variables when the table is loaded instead of when the action begins. Alias: compOnDemand, Default: FALSE.

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On: IdentifySpeakers

model.model.whereTable.dataSourceOptions

Specifies data source options. Aliases: options, dataSource. For more information about specifying the dataSourceOptions parameter, see the common dataSourceOptions parameter (Appendix A: Common Parameters).

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On: IdentifySpeakers

encodeName

specifies whether to encode the variable names such as predicted probabilities of a binary or nominal target in the generated casout table. The predicted probabilities are named with the prefix P_ instead of _DT_P_. Default: FALSE.

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On: gbtreeScore