Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Hub
  • Nodes
  • H2O AutoML Learner
NodeNode / Learner

H2O AutoML Learner

Analytics Integrations H2O Machine Learning Models AutoML
Drag & drop
Like
Copy short link

Learns the specified types of models using H2O AutoML and returns the leading model amongst these. As part of the learning process, hyperparameters are automatically optimized by H2O using a random grid search.

Node details

Input ports
  1. Type: H2O Frame
    H2O training frame.
    H2O Frame with training data.
Output ports
  1. Type: H2O Model
    H2O AutoML leader model
    The best H2O model trained in the AutoML process based on the selected scoring metric. The leading model corresponds with the first row of the leaderboard table.
  2. Type: Table
    H2O AutoML leaderboard
    A leaderboard of models trained in the AutoML process. The models are ranked by the selected scoring metric, i.e., the model of the first row is the one that is output.

Extension

The H2O AutoML Learner node is part of this extension:

  1. Go to item

Related workflows & nodes

  1. Go to item
    H2O AutoML on Spark
    Spark H2o Automl
    +4
    This workflow trains classification models for the Airlines Delay dataset using H2O AutoM…
    knime > Examples > 10_Big_Data > 02_Spark_Executor > 13_H2O_AutoML_on_Spark
  2. Go to item
    20220107 Decision tree learner seems to be overfitting - test some more models
    20220107 Decision tree learner seems to be overfitting - test some more models https://fo…
    mlauber71 > Forum > 2022 > kn_forum_38612_ecg_classification_models
  3. Go to item
    04-titanic_h2o
    thagen > teaching_examples > bwm_wim2022 > 04-titanic_h2o
  4. Go to item
    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 …
    mlauber71 > Public > kn_example_h2o_sparkling_water
  5. Go to item
    forum (43208) question about SVM model and strange results
    Svm
    forum (43208) question about SVM model and strange results
    mlauber71 > Forum > 2022 > kn_forum_43208_svm_model_sdf
  6. Go to item
    Score UCI Glass Dataset - multiple Targets (multiclass) with H2O.ai nodes and other models - measure results with LogLoss
    H2o H2o.ai Multiclass
    +2
    Score UCI Glass Dataset - multiple Targets (multiclass) with H2O.ai nodes and other model…
    mlauber71 > Public > kn_example_ml_multiclass_glass_data
  7. Go to item
    Score UCI Wine Quality Dataset - multiple Targets (multiclass) with H2O.ai nodes and other models - measure results with LogLoss
    H2o H2o.ai Multiclass
    +2
    Score UCI Wine Quality Dataset - multiple Targets (multiclass) with H2O.ai nodes and othe…
    mlauber71 > Public > kn_example_ml_multiclass_wine_quality
  8. Go to item
    use H2O.ai auto-machine-learning to just generate deep learning models
    H2o Deep learning Automl
    +2
    use H2O.ai auto-machine-learning to just generate deep learning models to compare that to…
    mlauber71 > Public > kn_example_deeplearning_keras_tensorflow_classification > kn_deeplearn_200_h2o_automl_dl
  9. Go to item
    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 aut…
    mlauber71 > Public > automl > kn_automl_h2o_classification
  10. Go to item
    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 powe…
    mlauber71 > Public > kn_example_bigdata_h2o_automl_spark_46 > s_618_h2o_automl_spark

No known nodes available

KNIME
Open for Innovation

KNIME AG
Hardturmstrasse 66
8005 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • E-Learning course
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • KNIME Open Source Story
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more on KNIME Server
© 2022 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits