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[FEATURE] Additional augmentation techniques to be added to snaugment.py [RFC] #124

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tallamjr opened this issue May 3, 2019 · 3 comments
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enhancement Improvement to existing functionality or implementation, including adding a new functions/methods. feature To add a new feature, new standalone files. (High level) pre-v2.0.0 Issues that should be completed prior to public release of v2.0.0

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@tallamjr
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tallamjr commented May 3, 2019

The goal for this would be to write wrapper functions to methods already implemented in the imbalanced-learn package (http://jmlr.org/papers/volume18/16-365/16-365.pdf)

In https://github.com/tallamjr/plasticc/ a selection of methods were used on the wavelet features such as SMOTE, SMOTETomek, SVMSMOTE etc. The proposal would be to bring in these at least as well as others may suggest.

Functions to be added:

  • SMOTE
  • SMOTETomek
  • SVMSMOTE
  • SMOTEENN
  • ADASYN
  • ...
@tallamjr tallamjr added enhancement Improvement to existing functionality or implementation, including adding a new functions/methods. feature To add a new feature, new standalone files. (High level) labels May 3, 2019
@tallamjr tallamjr self-assigned this May 3, 2019
@tallamjr tallamjr added the pre-v2.0.0 Issues that should be completed prior to public release of v2.0.0 label May 8, 2019
@Catarina-Alves
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Study LC transformations

@Catarina-Alves Catarina-Alves self-assigned this Apr 30, 2020
@Catarina-Alves
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I will also add the redshift augmentation.

@Catarina-Alves
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This issue was replaced by issue #246.

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Labels
enhancement Improvement to existing functionality or implementation, including adding a new functions/methods. feature To add a new feature, new standalone files. (High level) pre-v2.0.0 Issues that should be completed prior to public release of v2.0.0
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