Bayes Network learning using various search algorithms and quality measures. Base class for a Bayes Network classifier Provides d…

Builds a description of a Bayes Net classifier stored in XML BIF 0.3 format. For more details on XML BIF see: Fabio Cozman, Marek…

Bayes Network learning using various search algorithms and quality measures. Base class for a Bayes Network classifier Provides d…

Generative models for scalable text mining Provides sparse matrix implementations for Multinomial Naive Bayes and Multinomial Ker…

Implements Gaussian processes for regression without hyperparameter-tuning To make choosing an appropriate noise level easier, th…

Learns an isotonic regression model Picks the attribute that results in the lowest squared error.Missing values are not allowed. …

This classifier generates a two-class kernel logistic regression model The model is fit by minimizing the negative log-likelihood…

A wrapper class for the liblinear classifier. Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, Chih-Jen Lin (2008) LIBL…

A wrapper class for the libsvm tools (the libsvm classes, typically the jar file, need to be in the classpath to use this classif…

Class for using linear regression for prediction Uses the Akaike criterion for model selection, and is able to deal with weighted…

Class for building and using a multinomial logistic regression model with a ridge estimator. There are some modifications, howeve…

AODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that h…

AODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that h…

A2DE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that h…

A2DE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that h…

Implements Bayesian Logistic Regression for both Gaussian and Laplace Priors. For more information, see Alexander Genkin, David D…

Class for building and using a multinomial Naive Bayes classifier For more information see, Andrew Mccallum, Kamal Nigam: A Compa…

Multinomial naive bayes for text data Operates directly (and only) on String attributes.Other types of input attributes are accep…

Class for building and using a multinomial Naive Bayes classifier For more information see, Andrew Mccallum, Kamal Nigam: A Compa…

Class for building and using a simple Naive Bayes classifier.Numeric attributes are modelled by a normal distribution. For more i…