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### Hall Result
[Hall, Tracy, Sarah Beecham, David Bowes, David Gray, and Steve Counsell. "A Systematic Literature Review on Fault Prediction Performance in Software Engineering."](https://www.resear…
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- Only one room is used at a time (positive vs negative = 1 vs 4)
- Livingroom is mostly used (64% of all room occupancies)
What metrics to use? How to correct imbalance?
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Hi,
Would it be possible to add a new Class for performing both random over and undersampling combined?
Considering a binary classification problem `{1: 2000, 0: 500}`
can we sample in such a way we…
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# Implement Features Anew
* [x] Put in dependency parsing edges information
* [x] Assert current dependencies are correct as originally planned
* [x] Number of tokens left
* [x] Number of tokens…
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Is there a best method to try first? I'd guess oversample, but no idea which method. Any qualify as "not a bad first choice, of course your data matters and each have strength and weaknesses, but mig…
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Hi,
I am currently extracting some samples using undersampling for some data. However before sampling, I am using some data transformations.
However after the sampling is done, I want to use the se…
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Hi there,
First of all thank you for such a beautiful tool. I am trying for undersampling using NearMiss1. I would like to know is there any way to get the indices for selected samples of majority e.g…
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### Suggestion
I would like to suggest that we add either a new function (or a new option to `aperture_photometry`) that would basically return two 2-d arrays with shape `(n_sources, n_pix)` - the fi…
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Hello,
I was hoping to use the UnderSampler in a scikit-learn Pipeline, but ran into problems with the dimensions of the output.
Looking more closely, the UnderSampler (and presumably others) do not…
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Great library!
I noticed though that the seeding is all done via numpy while some of the functions still use the regular "random" module, which means that the seeding doesn't work for certain things.…