Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Hub
  • Search

212 results

Filter
Analytics Integrations Classification Algorithms Weka Mining
+5
  1. Go to item
    Node / Predictor
    Logistic Regression Predictor
    Analytics Mining Logistic Regression
    Predicts the response using a logistic regression model. The node needs to be connected to a logistic regression node model and s…
    0
  2. Go to item
    Node / Learner
    Spark Logistic Regression Learner (MLlib)
    Tools & Services Apache Spark Mining
    +1
    This node applies the Apache Spark Logistic Regression algorithm. It outputs the the learned model for later application. Please …
    0
  3. Go to item
    Node / Learner
    Logistic Regression Learner
    Analytics Mining Logistic Regression
    Performs a multinomial logistic regression. Select in the dialog a target column (combo box on top), i.e. the response. The solve…
    0
  4. Go to item
    Node / Learner
    Spark Logistic Regression Learner
    Tools & Services Apache Spark Mining
    +1
    This node uses the spark.ml logistic regression implementation to train a logistic regression model in Spark, supporting differen…
    0
  5. Go to item
    Node / Learner
    LibLINEAR (3.7)
    Analytics Integrations Weka
    +3
    A wrapper class for the liblinear classifier. Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, Chih-Jen Lin (2008) LIBL…
    0
  6. Go to item
    Node / Learner
    BayesianLogisticRegression (3.6)
    Analytics Integrations Weka
    +3
    Implements Bayesian Logistic Regression for both Gaussian and Laplace Priors. For more information, see Alexander Genkin, David D…
    0
  7. Go to item
    Node / Learner
    LogitBoost (3.6)
    Analytics Integrations Weka
    +3
    Class for performing additive logistic regression. This class performs classification using a regression scheme as the base learn…
    0
  8. Go to item
    Node / Learner
    BayesianLogisticRegression (3.7)
    Analytics Integrations Weka
    +3
    Implements Bayesian Logistic Regression for both Gaussian and Laplace Priors. For more information, see Alexander Genkin, David D…
    0
  9. Go to item
    Node / Learner
    LogitBoost (3.7)
    Analytics Integrations Weka
    +3
    Class for performing additive logistic regression This class performs classification using a regression scheme as the base learne…
    0
  10. Go to item
    Node / Learner
    Spark Logistic Regression Learner (MLlib)
    Uncategorized
    This node applies the Apache Spark Logistic Regression algorithm. It outputs the the learned model for later application. Please …
    0
  11. Go to item
    Node / Learner
    Logistic (3.6)
    Analytics Integrations Weka
    +3
    Class for building and using a multinomial logistic regression model with a ridge estimator. There are some modifications, howeve…
    0
  12. Go to item
    Node / Learner
    Logistic (3.7)
    Analytics Integrations Weka
    +3
    Class for building and using a multinomial logistic regression model with a ridge estimator. There are some modifications, howeve…
    0
  13. Go to item
    Node / Learner
    Logistic Regression Learner (deprecated)
    Analytics Mining Linear/Polynomial Regression
    Performs a multinomial logistic regression. Select in the dialog a target column (combo box on top), i.e. the response. The two l…
    0
  14. Go to item
    Node / Learner
    Logistic Regression Learner (deprecated)
    Analytics Mining Linear/Polynomial Regression
    Performs a multinomial logistic regression. Select in the dialog a target column (combo box on top), i.e. the response. The two l…
    0
  15. Go to item
    Node / Learner
    Logistic Regression Learner (deprecated)
    Analytics Mining Linear/Polynomial Regression
    Performs a multinomial logistic regression. Select in the dialog a target column (combo box on top), i.e. the response. The two l…
    0
  16. Go to item
    Node / Learner
    LibLINEAR (3.6)
    Analytics Integrations Weka
    +3
    A wrapper class for the liblinear tools (the liblinear classes, typically the jar file, need to be in the classpath to use this c…
    0
  17. Go to item
    Node / Learner
    SimpleLogistic (3.6)
    Analytics Integrations Weka
    +3
    Classifier for building linear logistic regression models. LogitBoost with simple regression functions as base learners is used f…
    0
  18. Go to item
    Node / Learner
    SimpleLogistic (3.7)
    Analytics Integrations Weka
    +3
    Classifier for building linear logistic regression models LogitBoost with simple regression functions as base learners is used fo…
    0
  19. Go to item
    Node / Learner
    RBFNetwork (3.6)
    Analytics Integrations Weka
    +3
    Class that implements a normalized Gaussian radial basisbasis function network. It uses the k-means clustering algorithm to provi…
    0
  20. Go to item
    Node / Learner
    LMT (3.6)
    Analytics Integrations Weka
    +3
    Classifier for building 'logistic model trees', which are classification trees with logistic regression functions at the leaves. …
    0

KNIME
Open for Innovation

KNIME AG
Hardturmstrasse 66
8005 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • E-Learning course
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • KNIME Open Source Story
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more on KNIME Server
© 2022 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits