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Mallet for Mac OS X 2.0.7 freeware

MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic ... text.

MALLET includes sophisticated tools for document classification: efficient routines for converting text to "features", a wide variety of algorithms (including Naïve Bayes, Maximum Entropy, and Decision Trees). ...

Author	Andrew McCallum
Released	2012-03-03
Filesize	11.80 MB
Downloads	506
OS	Mac OS X
Installation	Instal And Uninstall
Keywords	Java package, document classification, extract information, classification, document, tag
Users' rating (6 rating)	Mallet for Mac OS XComponents & LibrariesMac OS X Currently 3.17/5 1 2 3 4 5

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Mallet for Mac OS X - for mac os Freeware Download Notice

Mallet for Mac OS X Free Download - we do not host any Mallet for Mac OS X torrent files or links of Mallet for Mac OS X on rapidshare.com, depositfiles.com, megaupload.com etc. All Mallet for Mac OS X download links are direct Mallet for Mac OS X download from publisher site or their selected mirrors.

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Mallet for Mac OS X freeware - The Latest Versions History

2.0.7

Mar 3, 2012

New Release

* Fixed a bug in the Generalized Expectation (GE) implementation for
MaxEnt models. The old code could give low accuracy when using a small
number of constraints. See the note at the top of this page for more
information: http://mallet.cs.umass.edu/ge-classification.php

* Fixed a bug in SVMLight2Vectors that could result in different
Alphabets when importing multiple files at once.

* Fixed a bug in SVMLight2Classify that allowed previously unobserved
features to be added to the data Alphabet, possibly resulting in
mismatching Classifier and InstanceList Alphabets.

* Fixed bugs in the search direction computation in ConjugateGradient.

* Added support for cross-validation in Vectors2Classify (in addition to
random subsamples of the data set).

* Added support for importing SVMLight data with Alphabets for which
growth is stopped.

* Added new options to Optimizers: it is now possible to set the
convergence tolerance for GradientAscent, and set the LineOptimizer for
LimitedMemoryBFGS

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