NodeH2O Local Context

Source

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. Note: If run locally, H2O shares compute resources with KNIME Analytics Platform.

Output Ports

  1. Port Type: H2O Context
    Context for local H2O execution.

  1. Isolation_Forest_for_Fraud_Detection_Training

    kathrin > Faud_Detection_Autoencoder > Isolation_Forest_for_Fraud_Detection_Training

  2. H2O scoring model performance metrics

    H2O scoring machine learning model evaluation
    This example shows how to evaluate the performance of H2O classification (binominal and multinominal) and regression mod…
    shima0011 > 04_Analytics > 15_H2O_Machine_Learning > 05_H2O_Scoring

  3. Model Optimization and Selection

    This workflow deploys an advanced parameter optimzation protocol with four machine learning methods. In this implementat…
    knime > Examples > 04_Analytics > 11_Optimization > 08_Model_Optimization_and_Selection

  4. Open Source Visualizations and Modeling Integrations

    Open source R Python H2O.ai Flight delay
    This workflow uses airport and meteorlogical data to predict airline delays. It uses several open source integrations to…
    knime > Examples > 50_Applications > 28_Predicting_Departure_Delays > 03_OpenSourceVizAndModeling

  5. H2O data import and export

    H2O machine learning data import data export
    This workflow shows how to transfer data from KNIME to H2O and vice versa.
    shima0011 > 04_Analytics > 15_H2O_Machine_Learning > 01_H2O_Data_import_and_export

  6. Customer prediction with H2O in KNIME

    The purpose of this workflow is to showcase the ease of use of the H2O functionalities from within KNIME. As a real worl…
    shima0011 > 04_Analytics > 15_H2O_Machine_Learning > 07_Customer_prediction_with_H2O

  7. 03_Bioactivity_Prediction_Learn_Testing

    parameter optimization loop machine learning
    This workflow is used for learning the model. It deploys a simple version of parameter optimzation protocol designed for…
    knime > Examples > 50_Applications > 37_Monster_Model_Factory > Process > _Process_Step_Templates > workflows > Templates > 03_Bioactivity_Prediction_Learn_Testing

  8. Prediction_dec_tree

    knime > Examples > 50_Applications > 36_Guided_Analytics_for_ML_Automation > 01_Guided_Analytics_for_ML_Automation > Prediction > Prediction_dec_tree

  9. h2o_glm

    knime > Examples > 50_Applications > 36_Guided_Analytics_for_ML_Automation > 01_Guided_Analytics_for_ML_Automation > Models > classification > h2o_glm

  10. Isolation Forest for Fraud Detection

    fraud h2o isolation forest banking credit card cybersecurity
    This workflow uses the H2O integration to train an isolation forest to detect fraudulent transactions.
    knime > Examples > 50_Applications > 39_Fraud_Detection > 05_Isolation_Forest_for_Fraud_Detection_Training