georgedouzas / geometric-smote Goto Github PK
View Code? Open in Web Editor NEWImplementation of the Geometric SMOTE over-sampling algorithm.
Home Page: https://georgedouzas.github.io/geometric-smote
License: MIT License
Implementation of the Geometric SMOTE over-sampling algorithm.
Home Page: https://georgedouzas.github.io/geometric-smote
License: MIT License
There is an implementation of categorical variables in 0.2.X branch. It should be merged to master and add also the appropriate tests.
When k_neighbors
>n_samples
the error message displayed refers to an inexistent hyperparameter n_neighbors
:
ValueError: Expected n_neighbors <= n_samples, but n_samples = 2, n_neighbors = 6
GeometricSMOTE currently does not support data conversion from sparse input to Compressed Sparse Rows representation. Please add as a feature.
CI services should be moved to GitHub Actions.
Example seems broken.
Update documentation and Sphinx to latest version.
Can I use the geometricsmote with categorical variables ?
Something like SMOTENC from imblearn package ?
I have only one continuous variable in my dataset
Thank you
Update the references to publications in README and/or documentation that use G-SMOTE.
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