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Commits on Nov 10, 2014

• BLD Ignore output files

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• ENH Update to newer Chapter 10 architecture

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Commits on Nov 8, 2014

• ENH Second edition has less image processing

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• MIN Add explanatory comment

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Commits on Nov 7, 2014

• MIN Output Nr descriptors. Use range

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Commits on Nov 3, 2014

• ENH Add association rule code

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• ENH Improve Apriori code examples

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Commits on Nov 2, 2014

• ENH Simplify & document code

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Commits on Oct 31, 2014

• DOC Describe Apriori files

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• ENH Comment on alternative implementation

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• ENH Comment code. Use namedtuple for readability

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• ENH Update URL & make curl call follow redirects

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• ENH Simple & commented code

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Commits on Oct 30, 2014

• MIN Remove unused import

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• MIN Remove unnecessary print statement

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Commits on Oct 29, 2014

• ENH Take sqrt for stddev

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Commits on Oct 24, 2014

• MIN Describe different scripts in README

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• DOC Start a README file

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• ENH Stacked learning for combining methods

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• RFCT Do not filter matrix

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• RFCT Remove flawed stacking code

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Commits on Oct 23, 2014

• ENH Set random seed to ensure consistency

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Commits on Oct 21, 2014

• MIN Simple explanatory comments

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Commits on Oct 17, 2014

• RFCT Split prediction from evaluation

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• RFCT Simplify user regression code

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• RFCT Cleaner neighbor correlation code

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• RFCT Simplify sampling code

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Commits on Oct 13, 2014

• ENH Partition matrix into train/test

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Commits on Oct 12, 2014

• ENH Use color histograms with SVMs+Grid Search

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• RFCT Use scipy instead of rolling our own

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Commits on Oct 10, 2014

• ENH Add color histogram function

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• ENH Use curl instead of wget

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• ENH Download recommendation data in chapter 8

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Commits on Sep 28, 2014

• DOC Update documentation to match code

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Commits on Sep 27, 2014

• ENH Test various l1_ratio values with ElasticNetCV

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