H2O PCA Apply

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.

Views

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Workflows

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Installation

To use this node in KNIME, install the extension KNIME H2O Machine Learning Integration from the below update site following our NodePit Product and Node Installation Guide:

v5.3

A zipped version of the software site can be downloaded here.

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.3.0.v202312081534

On NodePit since: 2024-07-09

Last update: 2024-11-21

KNIME versions: Since v3.6

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