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H2O Local Context

KNIME H2O Machine Learning Integration - Local Context for H2O Version version 4.3.0.v202012011122 by KNIME AG, Zurich, Switzerland

A local H2O context allows to create objects in a locally running H2O instance. For example data tables can be converted to H2O frames and models created using H2O can be applied on those. The version of H2O used for this context can be set in the preferences. Note: If run locally, H2O shares compute resources with KNIME Analytics Platform.

If necessary, the H2O parameters ip and port can be controlled by setting the corresponding properties -Dknime.ext.h2o.localip and -Dknime.ext.h2o.localport in the knime.ini file.

Output Ports

: Context for local H2O execution.

Best Friends (Incoming)

Best Friends (Outgoing)

Table to H2O (98 %)
~~Spark to H2O~~ (1 %) Deprecated
Spark to H2O (< 1 %)
Create Local Big Data Environment (< 1 %)
Weka Predictor (3.7) (< 1 %)

Workflows

01_Analytics (KNIME Hub)
01_AutoML_Component_via_Interactive_Views (KNIME Hub)
01_Compute_LIMEs (KNIME Hub)
01_Compute_LIMEs (KNIME Hub)
01_Explainable_Artificial_Intelligence_(XAI)_Simple (KNIME Hub)
Show all 96 workflows

Installation

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

KNIME 4.3

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

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Developers

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