Manage your data to predictor deployment process by integrating a number of key technologies.
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The ecosystem.Ai workbench is designed to assist data scientists and machine learning specialists with basic tasks of data engineering, feature enrichment and predictor creation. It is also used to configure the final deployment and runtime environment where scoring could happen in real-time.
The ecosystemai/ecosystem-server is required for the workbench. Set the following environmental variables before starting: IP=http//server_url PORT=3001
docker run -it -d -p 80:80 --env IP=http://localhost --env PORT=3001 ecosystemai/ecosystem-workbench
Content type
Image
Digest
sha256:b2aa3b48f…
Size
42.4 MB
Last updated
27 days ago
docker pull ecosystemai/ecosystem-workbench