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Add a pure-python version of LARS and refactor structure in glm.
Divided the glm module in submodules, although API should not be affected since methods are imported from the __init__method. The lars method is a work in progress. For now, it is several times slower than the C version, but it is less buggy and implements the lasso variant.
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- examples/glm/plot_lasso_lars.py 52 additions, 0 deletionsexamples/glm/plot_lasso_lars.py
- scikits/learn/glm/__init__.py 5 additions, 0 deletionsscikits/learn/glm/__init__.py
- scikits/learn/glm/base.py 122 additions, 0 deletionsscikits/learn/glm/base.py
- scikits/learn/glm/bayes.py 346 additions, 0 deletionsscikits/learn/glm/bayes.py
- scikits/learn/glm/coordinate_descent.py 426 additions, 0 deletionsscikits/learn/glm/coordinate_descent.py
- scikits/learn/glm/lars.py 352 additions, 0 deletionsscikits/learn/glm/lars.py
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