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maxent is an R package with tools for low-memory multinomial logistic regression, also known as maximum entropy. The focus of this maximum entropy classifier is to minimize memory consumption on very large datasets, particularly sparse document-term matrices represented by the tm package. The classifier is based on an efficient C++ implementatio…
jkramar/maxent
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maxent: Low-memory Multinomial Logistic Regression with Support for Text Classification Description: maxent is an R package with tools for low-memory multinomial logistic regression, also known as maximum entropy. The focus of this maximum entropy classifier is to minimize memory consumption on very large datasets, particularly sparse document-term matrices represented by the tm package. The classifier is based on an efficient C++ implementation written by Dr. Yoshimasa Tsuruoka. Version: 1.3.2 Depends: R (≥ 2.13.0), Rcpp, SparseM, tm Published: 2012-05-22 Authors: Timothy P. Jurka Maintainer: Timothy P. Jurka <tpjurka at ucdavis.edu> License: GPL-3 INSTALLATION ============ maxent requires R 2.13+, which can be downloaded at http://www.r-project.org/. To build and install sentiment, run the following commands while in the root folder: R CMD REMOVE maxent R CMD BUILD maxent R CMD INSTALL maxent_X.X.X.tar.gz (where the X's should be replaced with the version number -- e.g. 1.3.2) SOURCE CODE ============ To modify the R code, go to the maxent folder, and modify files within the R directory. After making changes, ensure the package passes R CHECK using the following command: R CMD CHECK maxent
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maxent is an R package with tools for low-memory multinomial logistic regression, also known as maximum entropy. The focus of this maximum entropy classifier is to minimize memory consumption on very large datasets, particularly sparse document-term matrices represented by the tm package. The classifier is based on an efficient C++ implementatio…
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