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  1. 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
    2
    mlauber71
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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…
    knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon > Challenges > Group3_Model_Deployment > Group3_Call_Workflow > Group3_Call_Workflow
    0
    knime
  9. 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…
    knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon > Challenges > Group3_Model_Deployment > Group3_Call_Workflow > Group3_Deployment_Model
    0
    knime
  10. Workflow
    Group 3 Export to BIRT
    Deployment Model Prediction
    +2
    Solution to a task for Group 3 in KNIME Data Science Learnathon - Read a Random Forest model from a file and apply it to deployme…
    maarit > University Course > Learnathon UM April 21 > Challenges > Group3_Model_Deployment_(Demos) > Group3_Export_to_BIRT
    0
    maarit
  11. Workflow
    Group 3 Export to BIRT
    Deployment Model Prediction
    +2
    Solution to a task for Group 3 in KNIME Data Science Learnathon - Read a Random Forest model from a file and apply it to deployme…
    knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon-Solutions > Group3_Model_Deployment > Group3_Export_to_BIRT
    0
    knime
  12. Workflow
    Group 3 Write Table Database
    Deployment File Database
    +4
    Task for Group 3 in KNIME Data Science Learnathon - Read a Random Forest model and deployment data - Apply the model to the deplo…
    maarit > University Course > Learnathon UM April 21 > Challenges > Group3_Model_Deployment_(Demos) > Group3_Write_Table_Database
    0
    maarit
  13. Workflow
    Forum question (62317) Brazil Credit Risk - Binary Classification - use Python XGBoost package and other nodes to build model and deploy that thru KNIME Python nodes
    Xgboost Python Model
    +3
    Forum question (62317) Brazil Credit Risk - Binary Classification - use Python XGBoost package and other nodes to build model and…
    mlauber71 > Forum > 2023 > kn_forum_62317_brazil_credit_risk
    0
    mlauber71
  14. 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…
    asheesh > Public > 03_Model_Deployment_as_REST_API
    0
    asheesh
  15. 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
  16. Workflow
    Group 3 Write Table Database
    Deployment File Database
    +4
    Task for Group 3 in KNIME Data Science Learnathon - Read a Random Forest model and deployment data - Apply the model to the deplo…
    knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon > Challenges > Group3_Model_Deployment > Group3_Write_Table_Database
    0
    knime
  17. Workflow
    Group 3 Composite View
    Deployment Prediction Model
    +7
    Task for Group 3 in KNIME Data Science Learnathon - Apply a model to deployment data - Assign colors to data based on the delay s…
    knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon > Challenges > Group3_Model_Deployment > Group3_Composite_View
    0
    knime
  18. Workflow
    Compute Local Model-agnostic Explanations (LIMEs)
    LIME Machine learning interpretability Mli
    +9
    這是使用LIME計算說明的示例。 選擇了XGBoost模型，但是可以使用任何模型及其Learner和Predictor節點集。 -閱讀有關葡萄酒的數據集 -在訓練和測試中對數據進行分區 -選擇一些測試集實例行進行解釋 -在輸入表中為每個實例創建本地樣本（LI…
    jamestsai > Public > 01_Compute_LIMEs
    0
    jamestsai
  19. Workflow
    prepare historical sales data
    Prepare Data Regression
    +1
    data of 3 month back used to predict sales coefficient. Seasonality is provided by giving the month. 2019 is training, 2018 is te…
    mlauber71 > Public > forum > kn_forum_predict_sales_coeff > m_001_prepare_data
    0
    mlauber71
  20. Workflow
    Group 3 Export to BIRT
    Deployment Model Prediction
    +2
    Task for Group 3 in KNIME Data Science Learnathon - Read a Random Forest model from a file and apply it to deployment data - Filt…
    knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon > Challenges > Group3_Model_Deployment > Group3_Export_to_BIRT
    0
    knime