There are 3146 nodes that can be used as predessesor
for a node with an input port of type Table.
Learns a Distributed Random Forest regression model using H2O.
Learns a Distributed Random Forest classification model using H2O.
Scorer for binomial classification problems.
Scorer for binomial classification problems.
Scorer for binominal classification problems.
Scorer for multinomial classification problems.
Scorer for multinomial classification problems.
Computes certain statistics between the a numeric column's values and predicted values.
The Weka Cluster Assigner takes a cluster model generated in a weka node and assigns the data at the inport to the corresponding clusters.
The Weka Predictor takes a model generated in a weka node and classifies the test data at the inport.
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.