| Name : R-fastNaiveBayes
| |
| Version : 2.2.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:06:43
|
| Group : Development/Libraries/Other
| Source RPM : R-fastNaiveBayes-2.2.1-lp153.2.13.src.rpm
|
| Size : 1.40 MB
| |
| Packager : (none)
| |
| Summary : Extremely Fast Implementation of a Naive Bayes Classifier
|
Description :
This is an extremely fast implementation of a Naive Bayes classifier.
This package is currently the only package that supports a Bernoulli
distribution, a Multinomial distribution, and a Gaussian distribution,
making it suitable for both binary features, frequency counts, and
numerical features. Another feature is the support of a mix of
different event models. Only numerical variables are allowed, however,
categorical variables can be transformed into dummies and used with the
Bernoulli distribution. The implementation is largely based on the
paper \"A comparison of event models for Naive Bayes anti-spam e-mail
filtering\" written by K.M. Schneider (2003)
< doi:10.3115/1067807.1067848>. Any issues can be submitted to:
< https://github.com/mskogholt/fastNaiveBayes/issues>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
