**212**
results

- Go to itemPredicts the response using a logistic regression model. The node needs to be connected to a logistic regression node model and s…0
- Go to itemThis node applies the Apache Spark Logistic Regression algorithm. It outputs the the learned model for later application. Please …0
- Go to itemPerforms a multinomial logistic regression. Select in the dialog a target column (combo box on top), i.e. the response. The solve…0
- Go to itemThis node uses the spark.ml logistic regression implementation to train a logistic regression model in Spark, supporting differen…0
- Go to itemA wrapper class for the liblinear classifier. Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, Chih-Jen Lin (2008) LIBL…0
- Go to itemImplements Bayesian Logistic Regression for both Gaussian and Laplace Priors. For more information, see Alexander Genkin, David D…0
- Go to itemClass for performing additive logistic regression. This class performs classification using a regression scheme as the base learn…0
- Go to itemImplements Bayesian Logistic Regression for both Gaussian and Laplace Priors. For more information, see Alexander Genkin, David D…0
- Go to itemClass for performing additive logistic regression This class performs classification using a regression scheme as the base learne…0
- Go to itemThis node applies the Apache Spark Logistic Regression algorithm. It outputs the the learned model for later application. Please …0
- Go to itemClass for building and using a multinomial logistic regression model with a ridge estimator. There are some modifications, howeve…0
- Go to itemClass for building and using a multinomial logistic regression model with a ridge estimator. There are some modifications, howeve…0
- Go to itemPerforms a multinomial logistic regression. Select in the dialog a target column (combo box on top), i.e. the response. The two l…0
- Go to itemPerforms a multinomial logistic regression. Select in the dialog a target column (combo box on top), i.e. the response. The two l…0
- Go to itemPerforms a multinomial logistic regression. Select in the dialog a target column (combo box on top), i.e. the response. The two l…0
- Go to itemA wrapper class for the liblinear tools (the liblinear classes, typically the jar file, need to be in the classpath to use this c…0
- Go to itemClassifier for building linear logistic regression models. LogitBoost with simple regression functions as base learners is used f…0
- Go to itemClassifier for building linear logistic regression models LogitBoost with simple regression functions as base learners is used fo…0
- Go to itemClassifier for building 'logistic model trees', which are classification trees with logistic regression functions at the leaves. …0
- Go to itemClass that implements a normalized Gaussian radial basisbasis function network. It uses the k-means clustering algorithm to provi…0