Soledad Galli

In Borderline SMOTE, the variant 2 is supposed to interpolate between the minority in danger and other neighbors from the minority, and then between the minority in danger and some...

In SMOTENC - why the median std is halved to estimate the distance of the categorical features?

1

In [this line](https://github.com/scikit-learn-contrib/imbalanced-learn/blob/f177b05/imblearn/over_sampling/_smote/base.py#L515), when adding the median(std) to the OHE matrix to estimate the distance of categorical features, the median is divided by 2. Is this a bug? or is...

[BUG] in SMOTENC the median value of the std of continuous variables should be determined in the minority class being over-sampled

1

#### Describe the bug In SMOTE-NC, the distance between categorical features is determined by the median of the standard deviation of the continuous features in the minority class. This median...

[BUG] NCL - class should be cleaned if number of sampes is 0.5 * minority samples, not if 0.5* data.shape[0]

2

#### Describe the bug Neighbourhood cleaning rule procedure: 1. Split data T into the class of interest C (minority) and the rest of data O. 2. Identify noisy data A1...

[BUG] ENN, RENN and AlKNN train KNN with different K from init param

2

#### Describe the bug ENN and RENN accept integers in the init parameter n_neighbors, to indicate the number of neighbours for the KNN algorithm The default is 3. However, a...

#### Describe the bug [cross_val_predict](https://github.com/scikit-learn-contrib/imbalanced-learn/blob/f177b05/imblearn/under_sampling/_prototype_selection/_instance_hardness_threshold.py#L148) returns an array with the probabilities of each class. The array will have as many columns as classes the target. Then the code takes the...

I ran a `gp_minimize` using `EIps` and then `EI` and I found that the search with EIps takes longer. I expected the opposite. Does this make sense? Here is [a...

`OrdinalEncoder` could output -1 for unseen categories

1

The OrdinalEncoder has an errors argument which can either raise an error or output NaNs when encountering new categories. For this particular class, it'd make sense to output -1 when...

new transformer: feature selection using mrmr

11

As per description here: https://medium.com/towards-data-science/mrmr-explained-exactly-how-you-wished-someone-explained-to-you-9cf4ed27458b and references therein.

DecisionTreeDiscretiser to output integers in addition to the predictions

5

At the moment, the DecisionTreeDiscretiser returns the values of the tree predictions as the replacement of the original variables. I would like to add the option to return integers from...