H2O Predictor (Classification) (deprecated)

Predictor

Important note: All columns which have been used for training the model must be present in the incoming H2O frame as well.

Input Ports

  1. Type: H2O Model H2O classification model used for prediction.
  2. Type: H2O Frame H2O frame with data that is predicted.

Output Ports

  1. Type: H2O Frame H2O frame with predictions.

  1. Model Optimization and Selection

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

  2. Open Source Visualizations and Modeling Integrations

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

  3. H2O Cross-Validation

    H2O machine learning cross-validation
    This workflow shows how to use cross-validation in H2O using the KNIME H2O Nodes. In the example we use the H2O Random F…
    Examples > 04_Analytics > 15_H2O_Machine_Learning

  4. h2o_rndfor

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

  5. 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…
    Examples > 04_Analytics > 15_H2O_Machine_Learning

  6. 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…
    Examples > 50_Applications > 37_Monster_Model_Factory > Process > _Process_Step_Templates > workflows > Templates

  7. Prediction_h2o_naive

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

  8. h2o_gbm

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

  9. 03_Bioactivity_Prediction_Learn_All_Methods

    This workflow is used for learning the model. It deploys a complex parameter optimzation protocol for model building whe…
    Examples > 50_Applications > 37_Monster_Model_Factory > Process > _Process_Step_Templates > workflows > Templates

  10. Analytics - Model Selection to Predict Flight Departure Delays

    data science machine learning model selection data preparation ETL airline data set
    This workflow trains a number of data analytics models and automatically selects the best model to predict departure del…
    Examples > 50_Applications > 28_Predicting_Departure_Delays

Find here

KNIME Labs > H2O Machine Learning > Models

Make sure to have this extension installed: