Guillaume Lemaitre
Guillaume Lemaitre
We got a couple of issues, notably with `SMOTENC`, where large datasets drive to a `MemoryError`. Here I will add a couple of points that could be addressed in the...
I think that we need to add more tests for the checks implemented in `estimator_checks.py`
We could add utilities for PyTorch. Basically it should be inheriting from `torch.utils.data.Sampler`. The implementation could look like something: ```python class BalancedSampler(Sampler): def __init__(self, X, y, sampler=None, random_state=None): self.X =...
We should improve the example which as been added recently "learn from imbalanced dataset" * add a global variable * transpose the result array * add the f1 score *...
I think that we never publicly exposed what would be the method inclusion in imbalanced-learn. IMO, I think that we don't have to be as conservative as in scikit-learn to...
While imbalanced-learn 0.X really focuses on samplers, over time we start to add additional methods like ensemble classifiers. We could think about releasing imbalanced-learn 1.X which could reorganize the methods....
Would it be worth to get information regarding countries' implementation of some specific emergency protocol? This information could be stated as a vertical line on the plot. Would it be...
@gykovacs I was wondering if you would be interested in an integration of some of the algorithm in `imbalanced-learn`. It would be really nice to have more variant in `imbalanced-learn`...
The switch between `"interventional"` to `"tree_path_dependent"` being silent is quite surprising. Instead, I would propose to have an `"auto"` method that would switch to the method depending if the background...
In scikit-learn, we were about to bring a simple new ARFF parser based on `pandas.read_csv`. In short, it skipped the header, read the dataset and cast the nominal columns (we...