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Status: Open.

#82 In EpistasisLab/scikit-rebate;

· gjj07 opened on Jul 3, 2023

Discrepancy between documentation(discrete_limit) and github code(discrete_threshold)

Status: Open.

#80 In EpistasisLab/scikit-rebate;

· jckkvs opened on Jan 23, 2023

Have the implementation of reliefF weighted with the prior probability of each class?

Status: Open.

#78 In EpistasisLab/scikit-rebate;

· dahaiyu opened on May 24, 2021

Problem with headers in VLSRelief and TurF during the fit

Status: Open.

#70 In EpistasisLab/scikit-rebate;

· patriciamartinsconde opened on Apr 17, 2020

Questions about sample code?

Status: Open.

#57 In EpistasisLab/scikit-rebate;

· megancooper opened on Jan 21, 2019

TuRF doesn't work with odd number of features

Status: Open.

#54 In EpistasisLab/scikit-rebate;

· jgoecks opened on Aug 21, 2018

Add sklearn.utils.check_array to fit and predict

Status: Open.

#53 In EpistasisLab/scikit-rebate;

· mpearmain opened on Jul 19, 2018

TuRF value error

Status: Open.

#52 In EpistasisLab/scikit-rebate;

· J-Bleker opened on Jun 15, 2018

Issue with Error message stating inputs are of wrong sizes

Status: Open.

#48 In EpistasisLab/scikit-rebate;

· swzCuroverse opened on May 9, 2018

Refactor: Looking for implementation strategies to improve run time efficiency of all algorithms regardless of data type (i.e. discrete/continuous, missing data)

enhancement

help wanted

Status: Open.

#39 In EpistasisLab/scikit-rebate;

· ryanurbs opened on Apr 5, 2018

can't fit a sparse matrix as training set using object.fit()

enhancement

help wanted

Status: Open.

#18 In EpistasisLab/scikit-rebate;

· tbonewmy opened on Feb 2, 2017

Code cleanup

enhancement

help wanted

Status: Open.

#10 In EpistasisLab/scikit-rebate;

· rhiever opened on Dec 2, 2016