Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Hub
  • knime
  • Spaces
  • Examples
  • 50_Applications
  • 27_Deployment_Options
  • 01_Model_Deployment_file_to_database_scheduling
WorkflowWorkflow

Model Deployment File to Database (Scheduling)

Deployment File Database Scheduling Model
+2

Last edited: 

Drag & drop
Like
Download workflow
Copy short link
Workflow preview
This workflow demontstrates a mode of deploying a model with KNIME. The workflow reads new unseen data from file, scores the data with the available current model, appends model predictions and probabilities to the original data, and writes the results to database or file.

External resources

  • Seven Modes of Deployment
  • Deployment Options within KNIME

Used extensions & nodes

Created with KNIME Analytics Platform version 3.7.0
  • Go to item
    KNIME Connectors for Common Databases Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.0

  • Go to item
    KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.0

  • Go to item
    KNIME Deeplearning4J Integration (64bit only) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.0

  • Go to item
    KNIME Ensemble Learning Wrappers Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.0

  • Go to item
    KNIME Excel Support Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.0

  • Go to item
    KNIME JPMML Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 3.7.0

  1. Go to item
  2. Go to item
  3. Go to item
  4. Go to item
  5. Go to item
  6. Go to item

Legal

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

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
© 2022 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits