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base repository: scikit-learn/scikit-learn
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head repository: edgimar/scikit-learn
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  • 9 commits
  • 5 files changed
  • 1 contributor

Commits on Apr 23, 2016

  1. initial version of stripped-down mixture base class

    @edgimar
    edgimar committed Apr 23, 2016
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Commits on Apr 24, 2016

  1. added initial version of dgmm module (based on gaussian_mixture)

    @edgimar
    edgimar committed Apr 24, 2016
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Commits on Apr 26, 2016

  1. checkpoint -- working on preparing sklearn dgmm module

    @edgimar
    edgimar committed Apr 26, 2016
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Commits on Apr 27, 2016

  1. DGMM class now works with a 'dumb' fit() method 

    The fit() method simply creates one Gaussian for each observation.
No merging of any sort takes place.
    @edgimar
    edgimar committed Apr 27, 2016
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  2. substitute most uses of 'sample' with 'observation'

    @edgimar
    edgimar committed Apr 27, 2016
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Commits on May 1, 2016

  1. break partitioned quantity computations into separate method 

    also made output_indices be complement of input_indices by default
    @edgimar
    edgimar committed May 1, 2016
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Commits on Sep 23, 2016

  1. updated code to match version used in thesis 

    This is the version of the code that was used in the thesis titled
    "Learning and Using Multimodal Stochastic Models: A Unified Approach".
    @edgimar
    edgimar committed Sep 23, 2016
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Commits on Sep 26, 2016

  1. add proper imports to __init__.py and bugfix w/ __repr__()

    @edgimar
    edgimar committed Sep 26, 2016
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  2. added a simple fitting/prediction demonstration

    @edgimar
    edgimar committed Sep 26, 2016
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