Published April 10, 2017 | Version v0.2.0
Software Open

Glmnet in Python

Authors/Creators

  • 1. Stanford University
  • 2. Stony Brook University

Description

First release of glmnet_python

  • This is a python version of the popular glmnet library.
  • Fits lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression and the cox model.
  • Includes packaging for pip installation
  • Allows loading scipy sparse matrix directly from pandas SparseDataFrame (dataprocess)

Files

hanfang/glmnet_python-v0.2.0.zip

Files (3.7 MB)

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md5:f5d4e9787c9cf5a1f7ee0e2db16bc82b
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Additional details

Related works

Is supplement to
https://github.com/hanfang/glmnet_python/tree/v0.2.0 (URL)