imbalanced-learn

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DOC fix some typo in miscellaneous.rst

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#### Reference Issue #### What does this implement/fix? Explain your changes. #### Any other comments?

nada-adel-mohamady

[BUG] ValueError: Found array with 0 sample(s)

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#### Describe the bug When using SVMSMOTE on dataset which contains a minority class which has very few samples (may be < 10), it'll raise error `ValueError: Found array with...

allenyllee

Sampler should also sample sample_weight and return it

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Some scikit-learn estimators rely on the sample_weight but the current Sampler do not accept it. We should be able to at least sample the sample_weight as well. However, it should...

glemaitre

[ENH] Wrapper to combine any Over Sampler and Under Sampler

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#### Is your feature request related to a problem? Please describe Most of the time the data that needs to be resampled consists of Nominal and Continuous data. So SMOTENC...

iki77

API duck-typing for n_neighbors in CNN and deprecate estimator_

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This PR does: - deprecate `estimator_` in favour of `n_neighbors_` - accept any arbitrary knn classifier that has a `n_neighbors` parameter

glemaitre

[MRG] ENH: Geometric-SMOTE implementation

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#### Reference Issue Fixes #881 #### What does this implement/fix? Explain your changes. Implements the Geometric SMOTE, as described in [Geometric SMOTE a geometrically enhanced drop-in replacement for SMOTE](https://www.sciencedirect.com/science/article/pii/S0020025519305353) by...

joaopfonseca

[ENH] Add Geometric-SMOTE to imbalanced-learn

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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 imbalanced-learn library. The oversampler was already implemented by Georgios...

joaopfonseca

ENH Add sample_indices for SMOTE class

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Reference issue #772 #### What does this implement/fix? Explain your changes. To add the sample indices of the generating samples that do not belong to the original dataset. * `sample_indices()`...

tianlinhe

Add a factory function for dataset generation in estimator checks

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chkoar

ENH make Random*Sampler accept dask array and dataframe

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POC to see if we can make at least the `RandomUnderSampler` and `RandomOverSampler` accept some dask array and dataframe Note: - https://github.com/dask/dask-ml/issues/317 - #701

glemaitre