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An implementation of Maximum Entropy model
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This is a simple implementation of Maximum Entropy model. Algorithms implemented include: GIS, SCGIS, LBFGS, Gaussian smoothing and Exponential smoothing. We provide ample interface to build your own applications, please refer to src/maxEntModel.h for more information. We provide two sample applications at ./examples, one for training and one for testing. The folder ./data contains a small test corpus, which is borrowed from Lin's toolkit Using the following scripts to build and run our example programs with the small corpus: $ ./configure $ make $ ./train ./data/train Model $ ./test Model ./data/test NOTE: the example programs are likely to be insufficient for your demands, refer to src/maxEntModel.h and build your own application. Any problems please contact us: email@example.com