Sklearn-genetic-opt
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ML hyperparameters tuning and features selection, using evolutionary algorithms.
I open this issue for newcomers who would like to contribute to an open-source project The idea is to improve the current docs and add more examples using the library,...
**System information** OS Platform and Distribution: Windows 10 Sklearn-genetic-opt version: 0.9.0 Scikit-learn version: 1.0.2 Python version: 3.7.9 **Describe the bug** Passing tuples as hyperparameters causes the simulation to crash at...
I think I might have a solution for MLflow finally. I've been working with docker quite a bit lately so I think this might work. Tell me what you think.
**Is your feature request related to a problem? Please describe.** Currently there are not unit tests to the integration with MLflow **Describe the solution you'd expect** Create the file in...
I have the following suggestions: - "or a pipeline containing on of those" to "or a pipeline containing one of those" - "hyperparameters were fitted in this generation" to "individuals...
It would be nice to enable saving and loading models checkpoints, this could help to control training the model in different sessions in case is a large model, as well...
**What the problem is**: In the current implementation of GASearchCV, I find it cumbersome to manually define a wide range of parameters and potential values for optimization without guidance on...