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base repository: scikit-learn/scikit-learn
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head repository: andosa/scikit-learn
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compare: master
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  • 11 commits
  • 165 files changed
  • 2 contributors

Commits on Mar 3, 2014

  1. Node value saving for all nodes + tree paths added (return_paths option)

    @andosa
    andosa committed Mar 3, 2014
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  2. Test code for paths and node values

    @andosa
    andosa committed Mar 3, 2014
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Commits on Mar 5, 2014

  1. Adding return_paths option to random forest regressor and classifier

    @andosa
    andosa committed Mar 5, 2014
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  2. Example for feature contribution calculation

    @andosa
    andosa committed Mar 5, 2014
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  3. Additions to the example

    @andosa
    andosa committed Mar 5, 2014
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Commits on Mar 10, 2014

  1. * Created new methods for decision path computation instead of overlo… 

    …ading

the predict method
* Fixed a bug of decision path array being typed int32 instead of SIZE_t
    @andosa
    andosa committed Mar 10, 2014
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Commits on Aug 25, 2014

  1. Merge remote-tracking branch 'upstream/master' 

    Conflicts:
	sklearn/ensemble/forest.py
	sklearn/tree/_tree.c
	sklearn/tree/_tree.pyx
	sklearn/tree/tests/test_tree.py
    Ando Saabas committed Aug 25, 2014
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  2. Fixed array2d->check_arrays

    Ando Saabas committed Aug 25, 2014
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  3. Fixed exsample path depth check bug

    Ando Saabas committed Aug 25, 2014
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Commits on Aug 26, 2014

  1. Adding cython generated _tree.c

    Ando Saabas committed Aug 26, 2014
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Commits on Oct 15, 2014

  1. Merge upstream

    @andosa
    andosa committed Oct 15, 2014
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