Hub

45 results

Filter
Model
Deployment Prediction JSON REST Knime Flight Delay Scheduling External Application
  1. 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
  2. Workflow
    Machine Learning Meta Collection (with KNIME)
    Knime Machine Learning
    +11
    Machine Learning Meta Collection (with KNIME) This meta collection is about machine learning. It contains links to some examples …
    mlauber71 > Public > _machine_learning_meta_collection
    1
    mlauber71
  3. 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
  4. Workflow
    Model Deployment Dashboard WebPortal
    Deployment Model Prediction
    +5
    This workflow demontstrates a mode of deploying a model with KNIME. The workflow uploads new unseen data from a local file from a…
    knime > Examples > 50_Applications > 27_Deployment_Options > 04_Model_Deployment_dashboard_WebPortal
    1
    knime
  5. Workflow
    Model Deployment as REST API
    Deployment REST JSON
    +3
    This workflow demontstrates a mode of deploying a model with KNIME. The workflow receives new unseen data via a REST interface, s…
    knime > Examples > 50_Applications > 27_Deployment_Options > 03_Model_Deployment_as_REST_API
    1
    knime
  6. Workflow
    Group 3 Deployment Model
    Deployment Scheduling Model
    +5
    Task for Group 3 in KNIME Data Science Learnathon - Build a workflow that applies a model that can be called from an external app…
    maarit > University Course > Learnathon UM April 21 > Challenges > Group3_Model_Deployment_(Demos) > Group3_Call_Workflow > Group3_Deployment_Model
    0
    maarit
  7. Workflow
    Group 3 Call Workflow
    Deployment Scheduling Model
    +5
    Task for Group 3 in KNIME Data Science Learnathon - Call a workflow stored locally or on KNIME Server - Use this workflow to pred…
    maarit > University Course > Learnathon UM April 21 > Challenges > Group3_Model_Deployment_(Demos) > Group3_Call_Workflow > Group3_Call_Workflow
    0
    maarit
  8. Workflow
    Model Deployment as REST API
    Deployment REST JSON
    +3
    This workflow demontstrates a mode of deploying a model with KNIME. The workflow receives new unseen data via a REST interface, s…
    deepsika > Public > 03_Model_Deployment_as_REST_API (1)
    0
    deepsika
  9. Workflow
    Combine Big Data, Spark and H2O.ai Sparkling Water
    Knime H2o H2o.ai
    +8
    - load data into (local) Big Data environment - load data into Spark context - load data into H2O.ai Sparkling Water context - bu…
    mlauber71 > Public > kn_example_h2o_sparkling_water
    0
    mlauber71
  10. Workflow
    Re-Engineering the variable importance by feeding the Score (of a binary classification) into a numeric model that provides variable importance
    H2o Model Importance
    +1
    Re-Engineering the variable importance by feeding the Score (of a binary classification) into a numeric model that provides varia…
    mlauber71 > Public > kn_example_ml_variable_importance_re_engineering
    0
    mlauber71
  11. Workflow
    LIME Loop Nodes with AutoML (Regression)
    LIME Machine learning interpretability Mli
    +10
    This is an example for computing explanation using LIME. AutoML (Regression) component is used to select the best model, but any …
    knime > XAI Space > Regression > AutoML > 03_Compute_LIMEs
    0
    knime
  12. Workflow
    LIME Loop Nodes with a Custom Regression Model
    LIME Machine learning interpretability Mli
    +10
    An XGBoost Tree Ensemble Regression model was picked, but any model and its set of Learner and Predictor nodes can be used. - Rea…
    knime > XAI Space > Regression > Custom Models > 03_Compute_LIMEs
    0
    knime
  13. Workflow
    LIME Loop Nodes with AutoML
    LIME Machine learning interpretability Mli
    +9
    This is an example for computing explanation using LIME. AutoML component was used to pick the best model, but any model and its …
    knime > XAI Space > Classification > AutoML > 07_Compute_LIMEs
    0
    knime
  14. Workflow
    Minimal example of using models with R and KNIME
    R Knime Model
    +3
    Minimal example how to combine R and KNIME to create a simple model, store the result and reuse it later
    mlauber71 > Public > kn_minimal_r_script_model
    0
    mlauber71
  15. Workflow
    Model Deployment Dashboard WebPortal
    Deployment Model Prediction
    +5
    This workflow demontstrates a mode of deploying a model with KNIME. The workflow uploads new unseen data from a local file from a…
    jfigueroa9 > Public > 04_Model_Deployment_dashboard_WebPortal
    0
    jfigueroa9
  16. Workflow
    Sparkling predictions and encoded labels
    Knime H2o H2o.ai
    +5
    Use Big Data Technologies like Spark to get a robust and scalable data preparation. Use the latest Auo ML technology like H2O.ai …
    mlauber71 > Public > kn_example_bigdata_h2o_automl_spark > s_400_spark_h2o_automl_about_this_collection
    0
    mlauber71
  17. Workflow
    s_600 - Sparkling predictions and encoded labels - "the poor man's ML Ops"
    Knime H2o H2o.ai
    +8
    s_600 - Sparkling predictions and encoded labels - "the poor man's ML Ops" Use Big Data Technologies like Spark to get a robust a…
    mlauber71 > Public > kn_example_bigdata_h2o_automl_spark_46 > s_600_spark_h2o_automl_about_this_collection
    0
    mlauber71
  18. Workflow
    KNIME forum - question about simple Decision tree
    Forum Decision Tree
    +1
    KNIME forum - question about simple Decision tree
    mlauber71 > Forum > 2022 > kn_forum_43552_qualitative_data_decision_tree_jrip
    0
    mlauber71
  19. 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
  20. Workflow
    Model Deployment with Report and Email
    Deployment Model Prediction
    +3
    This workflow demontstrates two modes of deploying a model with KNIME. The workflow reads new unseen data from a file, scores the…
    afzal-gul > Public > 05_Model_Deployment_with_report_and_email
    0
    afzal-gul