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Commits on Mar 13, 2016

• Implements Perceptron Learner

  Schrodinger1926

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• Implements cross_validation_wrapper, modify train_test

  Schrodinger1926

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Commits on Mar 12, 2016

• implements backprop and neural net learner

  Schrodinger1926

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• Remove legacy lisp functions

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  StuartRussell

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Commits on Mar 11, 2016

• Fix flake8 warning for source files

  lucasmoura

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Commits on Mar 10, 2016

• Rollback to one folder organization

  MircoT

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Commits on Mar 6, 2016

• Convert into a python package with separate tests

  MircoT

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• Pass PEP8 script on all file

  MircoT

  committed
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• Fix tests

  MircoT

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• Finished porting to Python 3

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  MircoT

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Commits on Nov 14, 2011

• Move CountingProbDist to learning.py and use it in NaiveBayesLearner. Make NaiveBayesLearner use target-value frequencies too.

  darius

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Commits on Oct 31, 2011

• Shortened comment.

  darius

  committed
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• Added code to make a replicated training set.

  darius

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Commits on Oct 29, 2011

• Added scalar clip function.

  darius

  committed
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Commits on Oct 28, 2011

• Don't compare strings with 'is not'. (Broke things in pypy.) Also show Struct members in sorted order so doctests work in pypy.

  darius

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Commits on Oct 25, 2011

• Fixed some bugs in AdaBoost.

  darius

  committed
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Commits on Oct 24, 2011

• Probably-saner divide-by-0 handling in AdaBoost.

  darius

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• Filled in WeightedMajority.

  darius

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Commits on Oct 23, 2011

• Tweaked information_content().

  darius

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• Tweaked information_gain().

  darius

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• Fixed typo in untested code.

  darius

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• Changed NotImplemented to something that actually complains. Lack of this bit me.

  darius

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• Fixed normalize() to work on []. Added AdaBoost.

  darius

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• Oops, s/No/False/ as there is no No.

  darius

  committed
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• Tweak: use generator comprehension.

  darius

  committed
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• Use heapq.nsmallest in NearestNeighborLearner.

  darius

  committed
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• Replaced Learner with a functional interface. This is a pretty big change you might especially want to review.

  darius

  committed
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• Extract decision_tree_predict().

  darius

  committed
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• Move distance function into DataSet where users can change it.

  darius

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• Break information-gain ties randomly too.

  darius

  committed
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• Fixed DataSet doc comments. Added rep-invariant check. DecisionTreeLearner now breaks ties on leaves randomly. NaiveBayesLearner now collects stats only on input fields. Minor cleanup.

  darius

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• More readable doctest result using .display(). Restored old repr() code.

  darius

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• Fixed: bools aren't ints in modern Python. (Didn't really matter.)

  darius

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• Reordered methods top-down.

  darius

  committed
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• Removed unused "return self"

  darius

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