Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
Sign in
  • KNIME Hub
  • knime
  • Spaces
  • Examples
  • 10_Big_Data
  • 02_Spark_Executor
  • 02_Mass_Learning_Event_Prediction_MLlib_to_PMML
WorkflowWorkflow

MLlib model to PMML

Spark Hadoop Big Data

Last edited: 

Drag Workflow
Workflow preview
This workflow demonstrates the usage of the Spark MLlib to PMML node. Together with the Compiled Model Predictor and the JSON Input/Output node it can be used to model a so called lambda architecture which learns a machine learning model at scale on historical data offline and predicts events online using the learned model. The workflow makes use of the Create Local Big Data Environment node to create a Spark context. You can swap this node out for a Create Spark Context (Livy) node to connect to a remote cluster.

Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.0
  • KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Extension for Apache Spark Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Extension for Local Big Data Environments Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME JSON-Processing Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

Legal

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

License (CC-BY-4.0)
Discussion
Discussions are currently not available, please try again later.

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
© 2021 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits