Predicts the response using a logistic regression model. The node needs to be connected to a logistic regression node model and s…

This node applies the Apache Spark Logistic Regression algorithm. It outputs the the learned model for later application. Please …

Performs a multinomial logistic regression. Select in the dialog a target column (combo box on top), i.e. the response. The solve…

This node uses the spark.ml logistic regression implementation to train a logistic regression model in Spark, supporting differen…

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

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

Class for performing additive logistic regression. This class performs classification using a regression scheme as the base learn…

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

Class for performing additive logistic regression This class performs classification using a regression scheme as the base learne…

This node applies the Apache Spark Logistic Regression algorithm. It outputs the the learned model for later application. Please …

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

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

Performs a multinomial logistic regression. Select in the dialog a target column (combo box on top), i.e. the response. The two l…

Performs a multinomial logistic regression. Select in the dialog a target column (combo box on top), i.e. the response. The two l…

Performs a multinomial logistic regression. Select in the dialog a target column (combo box on top), i.e. the response. The two l…

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

Classifier for building linear logistic regression models. LogitBoost with simple regression functions as base learners is used f…

Classifier for building linear logistic regression models LogitBoost with simple regression functions as base learners is used fo…

Class that implements a normalized Gaussian radial basisbasis function network. It uses the k-means clustering algorithm to provi…

Classifier for building 'logistic model trees', which are classification trees with logistic regression functions at the leaves. …