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This package imports from the `imblearn` module but does not declare `imbalanced-learn` as a requirement.
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I'm opening this issue to propose the inclusion of the E2SC [1] method in the imbalanced-learn library. As the main author of this strategy, I believe that integrating E2SC will offer significant va…
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I was wondering how possible it would be to incorporate the sampling preprocessors in Imbalanced learn?
[https://github.com/scikit-learn-contrib/imbalanced-learn
](https://github.com/scikit-learn-…
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Remove the library's dependency on imbalanced-learn and direct users to balance datasets appropriately prior to fitting the model in Henosis. This has the effect of reducing the size of the library an…
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While imbalanced-learn 0.X really focuses on samplers, over time we start to add additional methods like ensemble classifiers. We could think about releasing imbalanced-learn 1.X which could reorganiz…
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### Describe the feature or idea you want to propose
It would be good to implement/import functionality for dealing with imbalanced data
### Describe your proposed solution
sub module in classifica…
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@gykovacs I was wondering if you would be interested in an integration of some of the algorithm in `imbalanced-learn`. It would be really nice to have more variant in `imbalanced-learn` and actually u…
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First of all, thanks for your contribution. I am using your model for dataset rebalancing, and with datasets with low and imbalanced samples I am facing a problem. Generation fails due to reaching the…
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Source code: https://github.com/GispoCoding/eis_toolkit/blob/59bbda136d36a09acccbbfcd515ec469d3e827f9/eis_toolkit/training_data_tools/class_balancing.py#L4
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I'm opening this issue to discuss the possible inclusion of Geometric-SMOTE, proposed by Douzas and Bacao [in this paper](https://www.sciencedirect.com/science/article/pii/S0020025519305353), in the i…