Hub
NodeNode / Other

Gradient Boosted Trees to PMML

Analytics Mining Decision Tree Ensemble Gradient Boosting
Drag & drop
Like
Copy short link

Writes a Gradient Boosted Trees model to PMML. Models learned on bit-, byte- or double-vector columns can be translated but the node will show a warning that the models can't be read in the corresponding PMML Predictor node.

Node details

Input ports
  1. Type: Gradient Boosting Model
    Gradient Boosted Trees
    The Gradient Boosted Trees model that should be written to PMML
Output ports
  1. Type: PMML
    PMML
    The PMML containing the Gradient Boosted Trees model

Extension

The Gradient Boosted Trees to PMML node is part of this extension:

Related workflows & nodes

  1. Learn a Gradient Boosted Trees model
    Classification Machine learning Gradient boosting
    +3
    This workflow shows how to learn a Gradient Boosted Trees model on the adult data set.
    knime > Examples > 04_Analytics > 04_Classification_and_Predictive_Modelling > 05_Gradient_Boosted_Trees
    knime
  2. Learn a Gradient Boosted Trees model
    Classification Machine learning Gradient boosting
    +3
    This workflow shows how to learn a Gradient Boosted Trees model on the adult data set.
    atomnous > Public > 04_Classification_and_Predictive_Modelling > 05_Gradient_Boosted_Trees
    atomnous
  3. Learn a Gradient Boosted Trees model
    Classification Machine learning Gradient boosting
    +3
    This workflow shows how to learn a Gradient Boosted Trees model on the adult data set.
    amfita > Public > 05_Gradient_Boosted_Trees
    amfita
  4. Boosted trees on Titanic dataset
    Classification Machine learning Prediction
    +7
    Training boosted trees
    sebastian_sauer > Public > titanic-boostedtrees
    sebastian_sauer
  5. KNIME_project 1
    dmtr_dr > Public > KNIME_project 1
    dmtr_dr
  6. try to collect severals transformations and a model into PMML
    Pmml Collection
    try to collect severals transformations and a model into PMML
    mlauber71 > Public > kn_example_pmml_modular > k_005_pmml_modular
    mlauber71
  7. 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 …
    mlauber71 > Public > kn_example_python_xgboost
    mlauber71
  8. Titanic_10.11.21
    evorobiova2011 > Public > Titanic_10.11.21
    evorobiova2011
  9. Classification_Models_Economic_Stimulus_Package
    Decision Tree Gradient Boosted Tree Random Forest and Naïve Bayes
    +1
    This study used a dataset from Department of Statistics Malaysia(DOSM) titled “Effects of…
    rathimalakannan > Public > Classification_Models_Economic_Stimulus_Package
    rathimalakannan
  10. Classification_Models_Economic_Stimulus_Package
    Decision Tree Gradient Boosted Tree Random Forest and Naïve Bayes
    +1
    This study used a dataset from Department of Statistics Malaysia(DOSM) titled “Effects of…
    rathimala > Classification_Models_Economic_Stimulus_Package > Classification_Models_Economic_Stimulus_Package
    rathimala