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Model Deployment as REST API

DeploymentRESTJSONModelPrediction
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Oct 7, 2015 9:04 AM
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This workflow demontstrates a mode of deploying a model with KNIME. The workflow receives new unseen data via a REST interface, scores the data with the available current model, appends model prediction and probabilities to the original data, and makes the results available at the output REST interface.

External resources

  • Seven Modes of Deployment
  • Deployment Options within KNIME
Loading deploymentsLoading ad hoc jobs

Used extensions & nodes

Created with KNIME Analytics Platform version 4.5.1
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.1

    knime
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    KNIME Deeplearning4J Integration (64bit only)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
  • Go to item
    KNIME Ensemble Learning WrappersTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
  • Go to item
    KNIME JavasnippetTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
  • Go to item
    KNIME JPMML IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
  • Go to item
    KNIME JSON-ProcessingTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime

Legal

By using or downloading the workflow, you agree to our terms and conditions.

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