hyperparameter_hunter
https://github.com/huntermcgushion/hyperparameter_hunter
Python
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
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- Issues
- Add `FeatureEngineer` to README
- Convert :meth:`CVExperiment._initialize_folds` to static method
- Keras CuDNN layers (like `CuDNNGRU`) not working
- Improve matching Keras `kernel_initializer` strings and callables
- Confusion using `validation_data` with Keras `model_extra_params[“fit”]`
- Keras `Embedding` layers with initialized weights
- Use `Leaderboard` class when reading Experiment results
- Separate input/target data for `environment.Environment.__init__`
- `random_state` to `space.Space.__init__` breaks repeated `space.Space.rvs` calls
- Leaderboard conflict with aliased, and non-aliased metrics
- Docs
- Python not yet supported