Hub
Pricing About
WorkflowWorkflow

Load and apply Python model in KNIME

Workflow snippetPythonPickle objectRandom forest
knime profile image
Draft Latest edits on 
Jan 10, 2022 2:46 PM
Drag & drop
Like
Download workflow
Workflow preview
The workflow snippet demonstrates how to load and apply a model, which was created and trained in Python, in KNIME. The Conda Environment Propagation node provides the correct environment with the required packages. With the Python Object Reader node we can load the pickled model into KNIME. In the Python Predictor node we simply apply the model on the data from the Table Reader node.
Loading deploymentsLoading ad hoc jobs

Used extensions & nodes

Created with KNIME Analytics Platform version 4.5.1
  • Go to item
    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.1

    knime profile image
    knime
  • Go to item
    KNIME Python Integration

    KNIME AG, Zurich, Switzerland

    Version 4.5.1

    knime profile image
    knime

Legal

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

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • Courses + Certification
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more about KNIME Business Hub
© 2025 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Data Processing Agreement
  • Credits