eps
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Ideas
Ideas
- [x] Add support for getting probabilities for classification
- [ ] Add random hyperparameter search - https://lightgbm.readthedocs.io/en/latest/Parameters-Tuning.html
- try 30-100 combinations
- learning rate (10^-4 to 1, log scale)
- depth (2-6)
- feature_fraction (.5 to 1)
- [x] Drop support for
gslgem (no longer maintained and Eps supportsgslrgem) - [ ] (maybe) Move to ONNX format
Hey @ankane, is there currently any way to change the learning rate when creating a new model?
When I try model = Eps::Model.new(data, target: :price_usd, split: :unix_timestamp, learning_rate: 0.01) for example, I get ArgumentError: unknown keyword: learning_rate.
Is this a currently supported feature and I just need to enter the argument differently, or is this feature currently not supported?
Thank you.
Hey @HansHauge, added on master.
Thank you, this is a great addition. That one change makes the LightGBM much more powerful for the user!