Changes to Resampling #7
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Owner
jrudar
commented
May 19, 2023
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jrudar
commented
- Resampling now occurs within each tree (each tree now has a self.resampling attribute)
- Removed the bootstrap parameter. This can be controlled by using an 'imbalanced-learn' model. Also, each node will create bootstrapped samples
- These changes enable users to create their own re-sampling and transformation objects which are applied on a per-tree level
- Resampling now occurs within each tree (each tree now has a self.resampling attribute) - Removed the bootstrap parameter. This can be controlled by using an 'imbalanced-learn' model. Also, each node will create bootstrapped samples
- Updated predict() and proximity() to handle cases where the resampler can also transform the data
Updated version to 2.0.4
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