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Mallet for Windows 2.0.7 freeware
... natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to 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 | 13.00 MB |
| Downloads | 521 |
| OS | Windows XP, Windows Vista, Windows 7 |
| Installation | Instal And Uninstall |
| Keywords | Java package, document classification, extract information, classification, document, tag |
| Users' rating (21 rating) |
Mallet for Windows Free Download - we do not host any Mallet for Windows torrent files or links of Mallet for Windows on rapidshare.com, depositfiles.com, megaupload.com etc. All Mallet for Windows download links are direct Mallet for Windows download from publisher site or their selected mirrors.
| 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 |
