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Source code: https://github.com/GispoCoding/eis_toolkit/blob/59bbda136d36a09acccbbfcd515ec469d3e827f9/eis_toolkit/training_data_tools/class_balancing.py#L4
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I am currently working with imbalanced data using the mlr3pipeline package and applying the SMOTE method for balancing. Since SMOTE requires numeric features, I used po("encode") to convert categorica…
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![~$…
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when I run the table_evaluator.visualisation with my data real and fake generated using SMOTE all the curves can be plotted except the cummsum and I got the following type error:
TypeError: cdf() g…
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### **_Bugs to be fixed_**
- [x] _While scrolling every time comments iteration begins from the first comment, there's some delay in processing new comments._
### **_Enhancements_**
- [ ] _try out wo…
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#### Describe the issue linked to the documentation
There is some discussion going on about the usefulness of some (if not all) over / under sampling methods implemented in the imbalanced learn pac…
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### pycaret version checks
- [X] I have checked that this issue has not already been reported [here](https://github.com/pycaret/pycaret/issues).
- [X] I have confirmed this bug exists on the [latest…
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"Original"
``` python
def smote(data,num,k=5):
corpus=[]
nbrs = NearestNeighbors(n_neighbors=k+1, algorithm='ball_tree').fit(data)
distances, indices = nbrs.kneighbors(data)
for i in …
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http://sci2s.ugr.es/keel/pdf/specific/congreso/pelayo2007.pdf