There are 79 nodes that can be used as successor
for a node with an output port of type H2O Frame.
Simple RNN layer.
Creates a Spark Data Frame from an H2O Frame.
Converts a H2O Frame to an KNIME table.
Filters columns from the input H2O Frame.
Partitions data into two disjoint sets.
Compute and output statistics of numerical and categorical columns of a H2O frame.
Learns the specified types of classification models using H2O AutoML and returns the leading model amongst these.
Learns the specified types of regression models using H2O AutoML and returns the leading model amongst these.
Learns a Generalized Linear Model classification model using H2O.
Learns a Generalized Linear Model regression model using H2O.