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Knime Automl H2o H2o.ai Learning Machine Python Auto
  1. Workflow
    Validating KNIME Workflows
    Reproducibility Validation Testing
    +3
    This workflow demonstrates a technique to deploy a model prediction workflow as a web service and to validate that it is doing wh…
    knime > Examples > 50_Applications > 51_Model_Deployment_and_Validation > 01_Deploying_and_Validating_models_as_WebServices
    3
    knime
  2. Workflow
    H2O.ai AutoML (wrapped with R) in KNIME for regression problems
    H2o Automl Knime
    +8
    H2O.ai AutoML (wrapped with R) in KNIME for regression problems - a powerful auto-machine-learning framework (https://hub.knime.c…
    mlauber71 > Public > automl > kn_automl_h2o_regression_r
    1
    mlauber71
  3. Workflow
    Mixing Deep Learning with XGBoost
    Deep Learning Machine Learning XGBoost
    +11
    This workflow shows how to train an XGBoost based image classifier that uses a pretrained convolutional neural network to extract…
    christian.birkhold > Deep Learning with XGBoost > Mixing_DL_with_XGBoost
    1
    christian.birkhold
  4. Workflow
    Compute Local Model-agnostic Explanations (LIMEs)
    LIME Machine learning interpretability Mli
    +9
    This is an example for computing explanation using LIME. An XGBoost model was picked, but any model and its set of Learner and Pr…
    knime > Examples > 04_Analytics > 17_Machine_Learning_Interpretability > 01_Compute_LIMEs
    1
    knime
  5. Workflow
    use Python XGBoost package to build model and deploy that thru KNIME Python nodes
    Xgboost Python Model
    +2
    use Python XGBoost package to build model and deploy that thru KNIME Python nodes in the subfolder /data/ there is a Jupyter note…
    mlauber71 > Public > kn_example_python_xgboost
    1
    mlauber71
  6. Workflow
    Model Selection with Integrated Deployment
    Chemistry Naive bayes Random forest
    +11
    This workflow deploys an advanced parameter optimzation protocol with four machine learning methods. In this implementation the c…
    knime > Life Sciences > Events > 2020_10_Integrated_Deployment_In_Action_Webinar > Model Selection with Integrated Deployment
    1
    knime
  7. Workflow
    H2O.ai AutoML (wrapped with Python) in KNIME for regression problems
    H2o Automl Knime
    +8
    H2O.ai AutoML (wrapped with Python) in KNIME for regression problems - a powerful auto-machine-learning framework (https://hub.kn…
    mlauber71 > Public > automl > kn_automl_h2o_regression_python
    1
    mlauber71
  8. Workflow
    Housing Value Prediction using XGBoost for Regression
    XGBoost Regression Gradient boosting
    +5
    This workflow shows how the XGBoost nodes can be used for regression tasks. It also demonstrates a combination of parameter optim…
    knime > Examples > 04_Analytics > 16_XGBoost > 02_Housing_Value_Regression_with_XGBoost
    1
    knime
  9. Workflow
    H2O.ai AutoML (wrapped with Python) in KNIME for classification problems
    H2o Automl Knime
    +1
    H2O.ai AutoML (wrapped with Python) in KNIME for classification problems - a powerful auto-machine-learning framework (https://hu…
    mlauber71 > Public > automl > kn_automl_h2o_classification_python
    0
    mlauber71
  10. Workflow
    H2O.ai AutoML (wrapped with Python) with vtreat data preparation in KNIME for classification problems (with R vtreat)
    H2o Automl Knime
    +10
    H2O.ai AutoML (wrapped with Python) with vtreat data preparation in KNIME for classification problems (with R vtreat) - a powerfu…
    mlauber71 > Public > automl > kn_automl_h2o_classification_python_vtreat
    0
    mlauber71
  11. Workflow
    H2O.ai AutoML (wrapped with R) in KNIME for classification problems
    H2o Automl Knime
    +3
    H2O.ai AutoML (wrapped with R) in KNIME for classification problems - a powerful auto-machine-learning framework (https://hub.kni…
    mlauber71 > Public > automl > kn_automl_h2o_classification_r
    0
    mlauber71
  12. Workflow
    H2O.ai AutoML (wrapped with R) with vtreat data preparation in KNIME for classification problems (with R vtreat)
    H2o Automl Knime
    +10
    H2O.ai AutoML (wrapped with R) in KNIME for classification problems (with R vtreat) - a powerful auto-machine-learning framework …
    mlauber71 > Public > automl > kn_automl_h2o_classification_r_vtreat
    0
    mlauber71
  13. Workflow
    H2O.ai AutoML (generic KNIME nodes) in KNIME for regression problems - a powerful auto-machine-learning framework
    H2o Automl Knime
    +9
    H2O.ai AutoML (generic KNIME nodes) in KNIME for regression problems - a powerful auto-machine-learning framework (https://hub.kn…
    mlauber71 > Public > automl > kn_automl_h2o_regression
    0
    mlauber71
  14. Workflow
    H2O.ai AutoML (wrapped with Python) with vtreat data preparation in KNIME for regression problems
    H2o Automl Knime
    +11
    H2O.ai AutoML (wrapped with Python) with vtreat data preparation in KNIME for regression problems (with R vtreat) - a powerful au…
    mlauber71 > Public > automl > kn_automl_h2o_regression_python_vtreat
    0
    mlauber71
  15. Workflow
    H2O.ai AutoML (generic KNIME nodes) in KNIME for classification problems - a powerful auto-machine-learning framework
    H2o Automl Knime
    +8
    H2O.ai AutoML (generic KNIME nodes) in KNIME for classification problems - a powerful auto-machine-learning framework (https://hu…
    mlauber71 > Public > automl > kn_automl_h2o_classification
    0
    mlauber71
  16. Workflow
    H2O.ai AutoML (wrapped with R) with vtreat data preparation in KNIME for regression problems
    H2o Automl Knime
    +11
    H2O.ai AutoML (wrapped with R) with vtreat data preparation in KNIME for regression problems (with R vtreat) - a powerful auto-ma…
    mlauber71 > Public > automl > kn_automl_h2o_regression_r_vtreat
    0
    mlauber71
  17. Workflow
    Binary Classification - use Python XGBoost package and other nodes to build model and deploy that thru KNIME Python nodes
    Xgboost Python Model
    +3
    Binary Classification - use Python XGBoost package and other nodes to build model and deploy that thru KNIME Python nodes prepare…
    mlauber71 > Machine_Learning > ml_binary > kn_example_ml_binary_python_xgboost
    0
    mlauber71
  18. Workflow
    (forum example) H2O.ai AutoML (wrapped with R) with vtreat data preparation in KNIME for classification problems (with R vtreat)
    H2o Automl Knime
    +10
    H2O.ai AutoML (wrapped with R) with vtreat data preparation in KNIME for classification problems (with R vtreat) - a powerful aut…
    mlauber71 > Public > forum > kn_forum_automl_h2o_classification_r_vtreat_svm
    0
    mlauber71
  19. Workflow
    H2O.ai AutoML (wrapped with R) with vtreat data preparation in KNIME for regression problems
    H2o Automl Knime
    +11
    H2O.ai AutoML (wrapped with R) with vtreat data preparation in KNIME for regression problems (with R vtreat) - a powerful auto-ma…
    mlauber71 > Forum > 2022 > kn_forum_39929_video_h2o_regression_r_vtreat
    0
    mlauber71
  20. Workflow
    Partial Dependence Plot with a Custom Regression Model
    Partial dependence Pdp Pdp plot
    +16
    This is an example for visualizing a partial dependence plot and an ICE curves plot in KNIME. An XGBoost Tree Ensemble Regression…
    knime > XAI Space > Regression > Custom Models > 04_Partial_Dependence_Pre-processing
    0
    knime