EpistasisLab / scikit-mdr

A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.

EpistasisLab/scikit-mdr Issues

Cannot read the genetic data from github scikit-mdr library
Updated 8 months ago1
np.int is throwing a deprecation error
Updated a year ago1
Cross-validation consistency and prediction error
Updated 4 years ago
Example for finding features with epistatic effects with scikit-mdr
Updated 6 years ago1
Confusion with documentation and MDR feature construction output
Closed 6 years ago4
cannot import module BaggingClassifier
Updated 7 years ago3
reduce 200x200000 into 200x1000
Updated 7 years ago3
Divide utility functions into separate modules
Updated 7 years ago
Error when class labels aren't [0,1]
Closed 7 years ago
Add MDR utils module
Updated 7 years ago
MDR doesn't work as a transform with sklearn pipelines
Closed 7 years ago
Add warning about consistent encodings in documentation
Updated 8 years ago
Expand unit tests
Closed 8 years ago
Add unit tests for MDREnsemble
Updated 8 years ago
Update README with more information on MDR model parameters
Updated 8 years ago
Make scikit-mdr a Python package on PyPi
Closed 8 years ago1
Make sure that MDR is still valid when fit is called multiple times on the same instance
Closed 8 years ago
Add continuous integration, landscape, and coverage services
Closed 8 years ago1
Allow the MDR scoring method to use arbitrary sklearn scoring metrics
Closed 8 years ago1