scikit-learn-contrib/stability-selection
scikit-learn compatible implementation of stability selection.
PythonBSD-3-Clause
Issues
- 1
I get error:TypeError: __init__() got an unexpected keyword argument 'normalize'
#39 opened by TonyEinstein - 1
In (stability selection.py) joblib externals are no longer part of scikit learn (descontinued) + In (randomized_lasso.py) sklearn.linear_model.base returns errors after executing clone and configuration when we call in some code this way (from stability_selection import RandomizedLasso) .####HOW TO SOLVE STEP BY STEP#####
#38 opened by 1993bio - 0
Issues with importing StabilitySelection
#37 opened by trislett - 0
- 0
joblib no longer included in scikit-learn
#33 opened by lcreteig - 0
The "n_resampling" parameter of RandomizedLogisticRegression and "scores_" of RandomizedLasso
#32 opened by Roych13 - 0
- 0
fails to install on windows
#30 opened by Sandy4321 - 4
ValueError: all the input array dimensions except for the concatenation axis must match exactly
#29 opened by goerch - 1
- 0
- 0
- 1
Fix error msg for check param `sample_fraction` in StabilitySelection __init__()
#25 opened by a-n-ermakov - 3
admin rights?
#20 opened by agramfort - 0
- 0
StabilitySelection fit() should call general underlying fit function that child classes can implement
#9 opened by thuijskens - 0
- 0
Add fit() call to example in README
#12 opened by thuijskens - 0
- 0
Raise a warning when there are no instances of the positive/negative class in bootstrap samples
#1 opened by thuijskens - 0
- 0
Add randomized LASSO as an estimator
#3 opened by thuijskens - 0
- 0