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.

Output Ports

Context for local H2O execution.

Best Friends (Incoming)

• Extract Table Dimension (75 %) 
• Amazon S3 Connection (25 %) 

Best Friends (Outgoing)

• Table to H2O (67 %) 
• Table to H2O (33 %) 
• Spark to H2O (< 1 %) Deprecated

Workflows

• Compute LIME 
• 08_​Model_​Optimization_​and_​Selection 
• 01_​H2O_​Data_​import_​and_​export 
• 02_​H2O_​GBM_​Classification_​Model 
• 03_​H2O_​GLM_​Regression_​Model 
• 04_​H2O_​Crossvalidation 
• 05_​H2O_​Scoring 
• 06_​H2O_​GBM_​parameter_​optimization 
• 07_​Customer_​prediction_​with_​H2O 
• 08_​H2O_​Isolation_​Forest_​Outlier_​Detection 
• 01_​Compute_​LIMEs 
• 01_​Analytics 
• 03_​OpenSourceVizAndModeling 
• 01_​Guided_​Analytics_​for_​ML_​Automation 
• Create Local or Spark Context 
• h2o_​gbm 
• h2o_​glm 
• h2o_​naive 
• h2o_​rndfor 
• Prediction_​dec_​tree 
• Prediction_​h2o_​gbm 
• Prediction_​h2o_​glm 
• Prediction_​h2o_​naive 
• Prediction_​h2o_​rndfor 
• Prediction_​log_​regression 
• Prediction_​mlp 
• Prediction_​svm 
• Apply Feature Creation 
• Apply PCA 
• 03_​Bioactivity_​Prediction_​Learn_​All_​Methods 
• 03_​Bioactivity_​Prediction_​Learn_​Testing 
• 02_​H2O_​for_​Performance 
• 04_​Control_​Workflow_​for_​Performance_​and_​Scalability_​Measurements 
• 05_​Isolation_​Forest_​for_​Fraud_​Detection_​Training 
• 06_​Isolation_​Forest_​for_​Fraud_​Detection_​Deployment 
• Prediction_​xgboost 
• Isolation_​Forest_​for_​Fraud_​Detection_​Deployment 
• Isolation_​Forest_​for_​Fraud_​Detection_​Training 
• kn_​example_​multiclass 
• 03_​Interactive_​MLI_​Composite_​View 
• Classification_​RF_​H2O 
• Feature Engineering 
• Rossmann - Analiza szeregów czasowych 
• Feature Transformations 
• Outlier Detection 
• Rossmann - DB - Time Series 
• Rossmann - DB - Time Series(2) 
• H2O_​Isolation_​Forest_​Outlier_​Detection_​with_​Shapley_​Values 
• m_​020_​build_​model 
• m_​120_​build_​model_​one_​year 
• m_​020_​build_​model 
• kn_​forum_​correlation_​regress_​model 
• 03_​Titantic_​Prediction_​Explanations 
• 05_​Interactive_​MLI_​Composite_​View 
• K-means LIME 
• Fun with Numbers 
• Show all 56 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

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