There are 4146 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 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.