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.gitattributes

@@ -0,0 +1 @@
+glmnet/_version.py export-subst

README.md

@@ -1,36 +1,7 @@
-# pyglmnet
-Python bindings to glmnet base source
+# glmnet
 
 
-## Organization
-
-- `src` contains `glmnet` C++ code for the two main routines
-  `spwls_exp` and `wls_exp`.
-- `tests` contains test data from R so that we can verify we get the
-  same results in python. Also contains some code for regenerating
-  data using an instrumented version of glmnet.
-
-
-## Steps to build
-
-- Assuming Xcode with command line tools is installed already.
-
-- Also probably a good idee to test in a new virtual env
-
-### Create a new virtual env, say `pyg`.
-
-```
-conda create -n pyg python=3.10 -y
-conda activate pyg
-```
-
-### Install requirements
-
-```
-pip install -r requirements.txt
-```
-
-#### Specifying `Eigen`
+## Specifying `Eigen`
 
 By default, build assumes the top level directory contains a directory `eigen` with the `Eigen` headers. This
 can be achieved with
@@ -48,26 +19,6 @@ the appropriate path.
 pip install .
 ```
 
-Load the module:
-
-```
-import glmnet.glmnetpp as gpp
-```
-
-This provides two functions:
-
-- `gpp.wls_exp` for dense $x$
-- `gpp.spwls_exp` for sparse $x$
-
-### Testing
-
-Example invocations can be seen in `tests/test_pyglmnet.py`. So one can run all the tests via:
-
-```
-pytest tests
-```
-
-No error messages mean all is well.