Manually setting the validation set for multi-output task #1503
Description
Pull request overview
This pull request adds support for manually setting a validation set for multi-output tasks when using the "holdout" evaluation method. Previously, users could not manually specify a validation set for multi-output regression tasks. The new multioutput_train_size parameter allows users to concatenate training and validation data and specify where to split them.
Changes:
- Added
multioutput_train_sizeparameter to AutoML class for manual validation set specification - Implemented
_train_val_splitmethod to split concatenated training/validation data - Added test case demonstrating the new functionality with MultiOutputRegressor
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 4 comments.
| File | Description |
|---|---|
| flaml/automl/automl.py | Added documentation and implementation for the multioutput_train_size parameter, including the split logic in the fit method |
| test/automl/test_regression.py | Added test_multioutput_train_size function to demonstrate usage of the new feature |
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Originally posted by @Copilot in #1302 (review)