This node implements the CAIM discretization algorithm according to Kurgan and Cios (2004). The discretization is performed with respect to a selected […]
Calculates mutual information between two groups.
Wrapper classifier that addresses incompatible training and test data by building a mapping between the training data that a classifier has been built with […]
Learn a Word Vector Model on labelled or unlabelled documents.
Allows to import a R model and predict given data by the use of the model.
This node implements Ruby scripts for data generation only. jRuby-based.
Adds a certain number of empty rows with missing values or a given constant to the input table.
A source node that reads data from R into KNIME.
Creates Java code for scoring from a PMML model.
Node to replace the RowID and/or to create a column with the values of the current RowID.
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