FateWithShellmiaoComment/Fate/doc/federatedml_component/local_baseline.md

Local Baseline

Local Baseline module builds a sklearn model with local data. The module is basically a wrapper for sklearn model such that it can be run as part of FATE job workflow and configured as other federatedml modules.

Use

Local Baseline currently only supports sklearn Logistic Regression model.

The module receives train and, if provided, validate data as specified. Input data sets must be uploaded beforehand as with other federatedml models. Local Baseline accepts both binary and multi-class data.

sklearn model parameters may be specified in dict form in job config file. Any parameter unspecified will take the default value set in sklearn.

Local Baseline has the same output as matching FATE model, and so its visualization on FATE Board will have matching format. Nonetheless, note that Local Baseline is run locally, so other parties will not show respective information like Logistic Regression module. In addition, note that loss history is not available for Guest when running homogeneous training.