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1. Commits on May 29, 2013

   • Nuked the old maxent/perceptron code. Updated Prep attachment test to work w/o old setup.

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2. Commits on May 25, 2013

   • Added HashedFeatureMap and supporting code to enable the hashing trick to be used.

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   • Removed unneeded commented out code.

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3. Commits on May 14, 2013

   • Merge pull request #20 from mlehman/rm_pca_dep

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   • Move PCA directly into PcaTransformer to remove dependency.

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4. Commits on May 7, 2013

   • Merge pull request #19 from Mortimerp9/feature/cross-validation

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     jasonbaldridge

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   • Merge pull request #14 from Mortimerp9/master

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   • Merge pull request #16 from Mortimerp9/feature/confusionmatrix-bugfixes

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     jasonbaldridge

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5. Commits on May 6, 2013

   • add some documentation to cross validation

     Mortimerp9

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   • add some documentation to cross validation

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   • remove printouts

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   • make CrossValidation generic

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   • make CrossValidation generic

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   • make CrossValidation generic

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   • merge with generics

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   • crossvalidation (TODO make generic)

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6. Commits on May 5, 2013

   • another feature had leaked in this branch

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   • make sure that we built the matrix with enough test examples

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   • split the result computation of ConfusionMatrix from the String display, to be able to output results in a different format if wanted

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   • make the Confusion Matrix generic on the label and example/instance types

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   • split the result computation of ConfusionMatrix from the String display, to be able to output results in a different format if wanted

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   • make the Confusion Matrix generic on the label and example/instance types

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7. Commits on Apr 28, 2013

   • Closes #13: can now save and load classifiers easily using saveClassifier and loadClassifier methods in NakContext.

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   • Added predict method to FeaturizedClassifier so that it is easier to get the max label.

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8. Commits on Apr 20, 2013

   • Added deprecation warnings.

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9. Commits on Apr 19, 2013

   • Don't need to import Solver.

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   • #9 progress. Moved LiblinearTrainer back into nak.liblinear and added trainClassifier method when using DataIndexer into NakContext. Other minor tweaks and additional documentation.

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   • #9 progress. Added example of classification for the 20 news groups data. Added directory-labeled reader to NakContext. Expanded documentation considerably. Consilidated some code, and deprecated f…

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10. Commits on Apr 18, 2013

    • #9 progress. Further improvements to the API, including putting some of the training methods into NakContext and reducing some code duplication. Also fixed error in how the LinearModelAdaptors were…

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    • #9 progress. Simplified PPA example by using FeaturizedClassifier. Added maxLabel function to NakContext to make it easier to get the best label from the array of scores returned by evalXYZ methods…

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    • Added second PPA example using featurized classifier.

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11. Commits on Apr 17, 2013

    • #9 progress. Further simplified the classifier hierarchy: it now uses the cake pattern, so all the classifier types are traits and they are instantiated using the Classifier companion object.

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    • #9 progress: reorganized and simplified the classifier hierarchy. Most importantly, LiblinearClassifier is now a aparent of LinearModelAdaptor, which pushes the legacy dependency farther down the c…

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    • Added documentation, including some deprecation warnings. Removed old liblinear example.

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12. Commits on Apr 16, 2013

    • #9 progress. Added PPA example for using the API, and started adding more Scaladoc comments.

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