scikit-survival

Software OPEN SOURCE
Sebastian Pölsterl;
(2019)
  • Publisher: Zenodo
  • Related identifiers: doi: 10.5281/zenodo.3352343, doi: 10.5281/zenodo.3590012, doi: 10.5281/zenodo.3384168, doi: 10.5281/zenodo.3352342
  • Subject: Inorganic Chemistry | python | Biotechnology | scikit-learn | Neuroscience | Developmental Biology | Sociology | Microbiology | Plant Biology | survival-analysis | Computational Biology | Marine Biology | machine-learning | Space Science | Cell Biology | Genetics | Pharmacology | Cancer | Science Policy | Immunology
    • FOR: 80699 Information Systems not elsewhere classified | 69999 Biological Sciences not elsewhere classified
    acm: ComputingMethodologies_PATTERNRECOGNITION

<p>This release adds <a href="https://scikit-survival.readthedocs.io/en/latest/generated/sksurv.tree.SurvivalTree.html#sksurv.tree.SurvivalTree">sksurv.tree.SurvivalTree</a> and <a href="https://scikit-survival.readthedocs.io/en/latest/generated/sksurv.ensemble.RandomSu... View more
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