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Knime Automl H2o Rstudio Xgboost H2o.ai Learning Machine Automatic
  1. Workflow
    Will they blend? An Ensemble model from R, Python, and KNIME models
    Will they blend Python R
    +1
    The challenge is to blend together models from different analytics platforms - i.e. Python , R, and KNIME - to create an ensemble…
    knime > Examples > 04_Analytics > 13_Meta_Learning > 04_Cross-Platform_Ensemble_Model
    1
    knime
  2. 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
  3. 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
  4. Workflow
    s_618 - H2O.ai AutoML (generic KNIME nodes) in KNIME for classification problems - a powerful auto-machine-learning framework applied via Sparkling Water on a Big Data system
    H2o Automl Knime
    +10
    s_618 - H2O.ai AutoML (generic KNIME nodes) in KNIME for classification problems - a powerful auto-machine-learning framework app…
    mlauber71 > Public > kn_example_bigdata_h2o_automl_spark_46 > s_618_h2o_automl_spark
    0
    mlauber71
  5. 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.knim…
    mlauber71 > Public > kn_example_bigdata_h2o_automl_spark > s_415_h2o_automl_classification_r
    0
    mlauber71
  6. 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
  7. 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
  8. 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…
    l20121 > Public > kn_automl_h2o_regression_r
    0
    l20121
  9. 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
  10. Workflow
    Simple example to make a random forest (rpart) model with R in KNIME using the iris dataset. And saving an reusing the model with PMML
    Machine learning Knime R
    +2
    Simple example to make a random forest (rpart) model with R in KNIME using the iris dataset. And saving an reusing the model with…
    mlauber71 > Public > kn_example_r_iris
    0
    mlauber71
  11. Workflow
    use R package 'modes' to detect bimodality, calculate coefficients and create a chart
    R Bimodality Graphic
    +2
    use R package 'modes' to detect bimodality, calculate coefficients and create a chart You could use that in KNIME and see if you …
    mlauber71 > Public > kn_example_r_bimodality > k_001_r_bimodality
    0
    mlauber71
  12. Workflow
    TopicKR
    Topic modelling Text analysis R
    +1
    This workflow helps you to generate and compare a series of topic models from a collection of preprocessed documents. It produces…
    angusveitch > Public > TopicKR
    0
    angusveitch