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H2O
Machine learning
H2o.ai Bag of Models Cross Validation Gradient Boosting Machine Models via external integration
+1
  1. Workflow
    H2O Isolation Forest for Outlier Detection Explained by Shapley Values
    H2O Machine learning Isolation Forest
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    This tutorial shows how to train an H2O Model in KNIME. We will train an Isolation Forest Model to detect frauds, i.e. outliers o…
    paolotamag > Public > H2O_Isolation_Forest_Outlier_Detection_with_Shapley_Values
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  2. Workflow
    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 Forest to …
    knime > Examples > 04_Analytics > 15_H2O_Machine_Learning > 04_H2O_Crossvalidation
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  3. Workflow
    H2O AutoML for Regression
    H2O Machine learning Automl
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    This example shows how to build a regression model with H2O AutoML, predict new data and score the regression metrics for model e…
    knime > Examples > 04_Analytics > 15_H2O_Machine_Learning > 11_H2O_AutoML_Regression_Model
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  4. Workflow
    H2O Gradient Boosting Machine for classification
    H2O Machine learning Gradient Boosting Machine
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    This workflow explains how to train a GBM classifier in H2O, predict classes of new data and evaluate the performance. 1. Prepare…
    r_khusainov > Public > 02_H2O_GBM_Classification_Model
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  5. Workflow
    H2O data import and export
    H2O Machine learning Data import
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    The H2O Local Context Node starts a single node H2O instance and provides the connection for KNIME. In order to leverage the high…
    dem_vien > Public > 01_H2O_Data_import_and_export
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  6. Workflow
    Score multiple Targets with H2O.ai nodes
    H2o H2o.ai Multiclass
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    Score multiple Targets with H2O.ai nodes and compare the results using Python and LogLoss
    mlauber71 > Public > kn_example_multiclass > kn_example_multiclass
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  7. Workflow
    Group 2 Optional Steps
    Predictive Analytics Machine Learning Cross Validation
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    Solution to the optional tasks for Group 2 in KNIME Data Science Learnathon - Apply a cross validation loop to a classification m…
    knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon-Solutions > Group2_Training_Evaluation_and_Optimization > Group2_2_Optional_Steps
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  8. Workflow
    Group 2 Optional Steps
    Predictive Analytics Machine Learning Cross Validation
    +6
    Solution to the optional tasks for Group 2 in KNIME Data Science Learnathon - Apply a cross validation loop to a classification m…
    knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon > Challenges > Group2_Training_Evaluation_and_Optimization > Group2_2_Optional_Steps
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  9. Workflow
    H2O Gradient Boosting Machine for classification
    H2O Machine learning Gradient Boosting Machine
    +1
    This workflow explains how to train a GBM classifier in H2O, predict classes of new data and evaluate the performance. 1. Prepare…
    annakuprik > Public > 02_H2O_GBM_Classification_Model
    0
  10. Workflow
    H2O data import and export
    H2O Machine learning Data import
    +1
    The H2O Local Context Node starts a single node H2O instance and provides the connection for KNIME. In order to leverage the high…
    knime > Examples > 04_Analytics > 15_H2O_Machine_Learning > 01_H2O_Data_import_and_export
    0
  11. Workflow
    H2O AutoML for Regression
    H2O Machine learning Automl
    +3
    This example shows how to build a regression model with H2O AutoML, predict new data and score the regression metrics for model e…
    yyy > Public > 11_H2O_AutoML_Regression_Model
    0
  12. Workflow
    H2O AutoML for Regression
    H2O Machine learning Automl
    +3
    This example shows how to build a regression model with H2O AutoML, predict new data and score the regression metrics for model e…
    adm > Public > Workflows > Data Analytics Made Easy > Chapter 9 > H2O AutoML Regression Model
    0
  13. Workflow
    H2O Isolation Forest for Outlier Detection
    H2O Machine learning Isolation Forest
    +4
    This tutorial shows how to train an H2O Model in KNIME. We will train an Isolation Forest Model to detect frauds, i.e. outliers o…
    knime > Examples > 04_Analytics > 15_H2O_Machine_Learning > 08_H2O_Isolation_Forest_Outlier_Detection
    0
  14. Workflow
    Group 2 Optional Steps
    Predictive Analytics Machine Learning Cross Validation
    +6
    Optional tasks for Group 2 in KNIME Data Science Learnathon - Apply a cross validation loop to a classification model - Train a c…
    maarit > University Course > Learnathon UM April 21 > Challenges > Group2_Training_Evaluation_and_Optimization > Group2_2_OPTIONAL_Steps
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  15. Workflow
    H2O Parameter Optimization
    H2O Machine learning Parameter optimization
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    This tutorial shows how to train multiple H2O Models in KNIME using parameter optimization (grid search) and extract the optimal …
    chester2020 > Public > 06_H2O_GBM_parameter_optimization
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  16. Workflow
    H2O scoring model performance metrics
    H2O Scoring Machine learning
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    In this example we take a look at the KNIME Nodes for H2O Scoring. There are different H2O Scorer Nodes in KNIME for different Ma…
    knime > Examples > 04_Analytics > 15_H2O_Machine_Learning > 05_H2O_Scoring
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  17. Workflow
    H2O Parameter Optimization
    H2O Machine learning Parameter optimization
    +1
    This tutorial shows how to train multiple H2O Models in KNIME using parameter optimization (grid search) and extract the optimal …
    knime > Examples > 04_Analytics > 15_H2O_Machine_Learning > 06_H2O_GBM_parameter_optimization
    0
  18. Workflow
    H2O Gradient Boosting Machine for classification
    H2O Machine learning Gradient Boosting Machine
    +1
    This workflow explains how to train a GBM classifier in H2O, predict classes of new data and evaluate the performance. 1. Prepare…
    knime > Examples > 04_Analytics > 15_H2O_Machine_Learning > 02_H2O_GBM_Classification_Model
    0
  19. Workflow
    H2O Generalized Linear Model for regression
    H2O Generalized Linear Model Machine learning
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    This example shows how to build an H2O GLM model for regression, predict new data and score the regression metrics for model eval…
    knime > Examples > 04_Analytics > 15_H2O_Machine_Learning > 03_H2O_GLM_Regression_Model
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  20. Workflow
    s_605 - use the stored rules and lists to actually prepare the data
    Spark H2o Data
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    s_605 - apply the label encoding and other transformations stored in SQL code and the selected final column as RegEx string Get t…
    mlauber71 > Public > kn_example_bigdata_h2o_automl_spark_46 > s_605_spark_prepare_data
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