Removed unneeded commented out code.
Added HashedFeatureMap and supporting code to enable the hashing trick to be used.
Nuked the old maxent/perceptron code. Updated Prep attachment test to work w/o old setup.
add memory flag to java command
Merge pull request #21 from mlehman/mem_flag

add memory flag to java command
Drop SNAPSHOT.
Merge branch 'master' of github.com:scalanlp/nak
Update readme.
Minor edit.
Removed OpenNLP from NOTICE file since it isn't in Nak anymore.
#22 progress. Initial check in of breeze.learn code adapted for Nak. Also pulls in some portions of Chalk that were in breeze.process.
Changed version to 1.2.0-SNAPSHOT to get things lined up for reorg of Breeze-Nak-Chalk.
Fixes #22. Breeze tests brought into Nak and all pass.
Added data and serialization tests that had been in Chalk.
Upgraded Scala, SBT, and Scallop to latest versions.
Merged the two K-means implementations. Removed Points code. Updated K-means test for both dense and sparse vectors.
Removed some commented out code.
#10 progress: Kmeans was made more generic in previous commit. This commit turns the k-means implementation into an iterative (faster) style, tested on 20 news groups clustering.
Fixes #10: Improved the batch featurizing, added distance function as parameter, added documentation, provided command line parsing for 20 news example. Other tweaks.
TfidfBatchFeaturizer can be parameterized by label type. Added Typesafe logging w/ log4j.