Hello @hildeweerts , I would like to work on this. I have some idea on this paper and have already implemented code on this. Can I work on this one?

Hi @rakesh9177, many thanks for your interest! I will assign this issue to you.

I do want to emphasize that adding a new algorithm to Fairlearn is quite a substantial task! Before you spend a lot of time on the actual implementation, I therefore highly highly highly recommend you post your plans (API design etc.) and any other questions you have in this issue thread.

We try to adhere to the scikit-learn API conventions as much as we can. As this is a pre-processing algorithm, I'd recommend you check out the implementation of CorrelationRemover as an example.

Let me know if anything is unclear at this stage!

Thank you @hildeweerts ,

I reviewed the above code of Correlation remover and intend to follow similar structure as scikit-learn implementation. I also reviewed the code implemented in AIF360

I want to implement in such a way that user can use it in below way

from fairlearn.preprocessing import OptimizedPreprocessor 
df = adult_data()

X_feature_names = ["Age (decade)", "Education Years"]
Y_feature_names = ["Income Binary"]
Discriminative_feature_names = ["sex"]

//this structure is used from AIF360, get_distortion_adult is a data specific function on putting distortion in data, we can give an example of how to do this but eventually it differs from data to data
//epsilon, clist, dlist are based of paper but can be changed for experimentation and if they intend to follow rules from a different organization
optim_options = {
    "distortion_fun": get_distortion_adult,
    "epsilon": 0.05,
    "clist": [0.99, 1.99, 2.99],
    "dlist": [0.1, 0.05, 0],
}

opt = OptimizedPreprocessor(optim_options=optim_options)

opt.fit(df=df, D_features=D_feature_names, X_features=X_feature_names, Y_features=Y_feature_names)

df_transformed = opt.transform(
    df=df, D_features=D_feature_names, X_features=X_feature_names, Y_features=Y_feature_names
)

My implementation might look like

class OptimizedPreprocessor:
     def __init__():
      //code
     def fit():
      //code
     def transform():
      //code

please let me know your thoughts on this. Thank you!

Hello @hildeweerts , I opened a pulled request and implemented the algorithm as mentioned above. #1340

Please review and let me know

Thanks!