hyperparameter_hunter
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Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
I was wondering how to install the module. I create a new notebook in google colab but it fails to install. It has problem with skopt module. I tried to...
- Add regression example script/notebook to "examples/sklearn_examples/" - Format should mirror that of examples in other subdirs
origin helper requires tensorflow cuda9.0, however, the hunter will output nothing and stop when working on cuda10. so add some information
Hey, I've tried using the package on my dataset, which is binary classification problem, but the ROC AUC scores produced by HPH don't match to the scores produced by a...
What are the minimal methods needed to interface with hyperparameter_hunter with pytorch and tensorflow models ? tahnks
Hi, So far loving this package! Question, I am using time series data and would like to use a more sophisticated cross validation than TimeSeriesSplit offered by sklearn. Specifically, I...
`tf.keras` is more generally compatible & stable, and fixes the metaclass conflict w/ Keras 2.3.0
- Using HyperparameterHunter with the recently released Keras version 2.3.0 raises metaclass conflict error, breaking Keras compatibility - **TEMPORARY WORKAROUND: Use Keras 2.2.5** ## Error Traceback - From executing `examples/keras_examples/experiment_example.py`...
- Fix bug matching Experiment Descriptions including hyperparameter types not handled by JSON - Accomplish above by switching to YAML Descriptions - Can revert back to JSON Descriptions via `settings.G.description_format`