SPSM
SPSM is a machine learning method to fit simple submodels with missingness at test time in python.
Background SPSM let users make quick predictions when having missingness at the test time by having a shared coefficient and pattern specific submodels.
Hier ist an illustration that we included as a running example in our paper:
Reference If you use SPSM in your research, we would appreciate a citation to the following paper (LINK)!
Installation git clone https://github.com/Healthy-AI/spsm.git
cd main_script python experiment.py -ds house_reg -es SPSM_ols -i none -pa alpha0 10.0 alphap 100.0 -sp 0.2 -s 0 -op True -m True -fr 1.0 #run example with housing dataset