Issues
- 9
Add possibility to run classification
#11 opened by Vlad0922 - 2
Introduction of Sample Weights
#18 opened by JohnStott - 0
Scikit-Learn compliant MERF
#68 opened by Peter9192 - 1
Longitudinal Data
#67 opened by simonprovost - 0
Line # 96 in merf.merf.py might be better when modifying "len(indices_i)" to "sum(indices_i)"
#65 opened by CCChen-Menggg - 0
Incompatibility with scikit-learn: MERF does not implement get_params
#64 opened by NegatedObjectIdentity - 0
An issue about the random state
#63 opened by zixiao-yin - 0
- 3
- 0
- 5
Can not run examples given by notebooks
#12 opened by Yutong-Dai - 0
- 0
- 0
method predict gives values higher than 1
#57 opened by veseliy - 0
Random Effect Features Importance
#56 opened by rtnmypd - 2
Regarding Merf Plot by Cluster
#36 opened by ahlusar1989 - 2
Clearly document the dimensions of Z
#4 opened by resdntalien - 0
Create sphinx documentation
#3 opened by resdntalien - 2
Translation from MERF random effects nomenclature to align with other implementations
#14 opened by dstanner - 1
- 3
Add partial dependency plotting function
#26 opened by OliverFishCode - 1
How to Calculate Feature Importance
#33 opened by MehakManiktala - 1
Unable to install on Python 3.7 using conda
#35 opened by mariadelmarq - 1
saving merf as a pickle
#37 opened by jyu-theartofml - 3
Typechecks
#13 opened by JCSyng - 1
MERF for classification
#34 opened by MarconiS - 0
- 1
R Implementation
#24 opened by cdeterman - 3
- 0
Implement early stopping
#2 opened by resdntalien - 0
- 0
Submit to PyPi
#9 opened by resdntalien - 0
- 0
Setup logging in init.py file
#5 opened by resdntalien - 1