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base repository: rlabbe/filterpy
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base: master
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head repository: rlabbe/filterpy
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compare: mht
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  • 17 commits
  • 8 files changed
  • 1 contributor

Commits on May 6, 2018

  1. Tree seems to be basically working 

    Still adding functionality, though
    @rlabbe
    rlabbe committed May 6, 2018
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Commits on May 7, 2018

  1. Working, split as separate node and tree 

    Not sure I like this design, but it does make it easy to have
separate set of all nodes, and all leaves. Not sure I see the
need for the former, but will need the latter to efficiently
add measurements.
    @rlabbe
    rlabbe committed May 7, 2018
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Commits on May 17, 2018

  1. Have basic MHT working

    @rlabbe
    rlabbe committed May 17, 2018
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  2. Merge branch 'master' into mht

    @rlabbe
    rlabbe committed May 17, 2018
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  3. Added tests for new KF properties

    @rlabbe
    rlabbe committed May 17, 2018
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  4. Fixed tree printing

    @rlabbe
    rlabbe committed May 17, 2018
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Commits on May 18, 2018

  1. Fixed tree printing

    @rlabbe
    rlabbe committed May 18, 2018
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  2. Node children now a dict

    @rlabbe
    rlabbe committed May 18, 2018
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  3. Bug in Node::delete_children - used set, not dict

    @rlabbe
    rlabbe committed May 18, 2018
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  4. Tree leaves changed from set to dict

    @rlabbe
    rlabbe committed May 18, 2018
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  5. Made Tree.nodes a dict

    @rlabbe
    rlabbe committed May 18, 2018
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  6. Tree.add_child not deleting parents from leaves

    @rlabbe
    rlabbe committed May 18, 2018
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  7. Fixed bug with Tree.delete 

    Also updated the tests to be more comprehensive (such as
testing delete!!!)
    @rlabbe
    rlabbe committed May 18, 2018
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  8. Put MHT in its own module 

    Moved from kalman module.
    @rlabbe
    rlabbe committed May 18, 2018
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Commits on May 19, 2018

  1. Added update() and score computation

    @rlabbe
    rlabbe committed May 19, 2018
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Commits on May 20, 2018

  1. bug fix, restructure 

    Put Node in a separate file, fixed bug - I was looping on
leaves in the inner loop, which meant I was creating a too
deep tree.
    @rlabbe
    rlabbe committed May 20, 2018
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  2. Added predict() to Tree and Node

    @rlabbe
    rlabbe committed May 20, 2018
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