There are 104 nodes that can be used as predessesor for a node with an input port of type org.knime.core.data.filestore.FileStorePortObject.
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.
Learns a Distributed Random Forest classification model using H2O.
Build and apply a K-Means clustering model using H2O.
Build and apply a K-Means clustering model using H2O.
Learns a linear model based XGBoost model.
Learns a linear model based XGBoost model.
Learns a tree based XGBoost model.
Learns a tree based XGBoost model for regression.
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Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.