H2O Local Context

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)

• Extract Table Dimension (40 %) 
• Integer Input (20 %) 
• Amazon S3 Connection (10 %) 
• CASE Switch Variable (End) (10 %) 
• CASE Switch Variable (Start) (10 %) 
• Show all 6 recommendations

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 65 workflows

Installation

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

A zipped version of the software site can be downloaded here. Read our FAQs to get instructions about how to install nodes from a zipped update site.

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.