0 ×

H2O PCA Apply

KNIME H2O Machine Learning Integration version 4.0.2.v201909242005 by KNIME AG, Zurich, Switzerland

This node applies a PCA model to reduce the dimensionality of the input dataset.

Important note: all columns used for training the model must also be present in the incoming H2O frame.

Options

Replace original data columns
If checked, the input data columns will be replaced by the principal components; otherwise they will be appended next to the input data columns.

Input Ports

H2O Principal Component Analysis model.
H2O Frame with input data.

Output Ports

H2O Frame with the principal components of the training data.

Best Friends (Incoming)

Best Friends (Outgoing)

Workflows

Installation

To use this node in KNIME, install KNIME H2O Machine Learning Integration from the following update site:

KNIME 4.0
Wait a sec! You want to explore and install nodes even faster? We highly recommend our NodePit for KNIME extension for your KNIME Analytics Platform.

Developers

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.