Add Hyperparameter Search Support for Tree-based Models#27
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- the implementation is based on code from Zhi-Bao's repo.
- the implementation is based on code from Guan-Ting's PR.
- remove main() in grid.py as the example has been moved to the tutorial
chcwww
added
enhancement
Eleven1Liu
previously approved these changes
May 12, 2026
Eleven1Liu
approved these changes
May 12, 2026
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What does this PR do?
This PR adds a Python tool for efficient hyperparameter search on tree-based models.
The tool allows users to configure hyperparameters across four stages (TF-IDF, tree, linear, and predict) and returns cross-validation results evaluated using specified metrics.
We also introduce
prob_A, which is used in the probability estimation function for binary classification: sigmoid(prob_A * decision_value_matrix).Test CLI & API (
bash tests/autotest.sh)Test APIs used by main.py.
Note
After #14, the results for OVR are no longer stable, as the classifiers may be trained in a different order.
Check API Document
If any new APIs are added, please check if the description of the APIs is added to API document.
Test quickstart & API (
bash tests/docs/test_changed_document.sh)If any APIs in quickstarts or tutorials are modified, please run this test to check if the current examples can run correctly after the modified APIs are released.