NodeH2O Gradient Boosting Machine Learner (deprecated)

Learner

Learns a Gradient Boosting Machine (GBM) classification model using H2O .

Input ports
  1. H2O training frame. Type: H2O Frame
    H2O Frame with training data.
Output ports
  1. H2O GBM classification model. Type: H2O Model
    H2O Gradient Boosting Machine classification model.
  1. 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…
    knime > Examples > 50_Applications > 37_Monster_Model_Factory > Process > _Process_Step_Templates > workflows > Templates > 03_Bioactivity_Prediction_Learn_All_Methods
  2. 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
  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