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Dataiku DSS

Use the Dataiku DSS API

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Overview

This node integrates with the Dataiku DSS API, allowing users to perform a wide range of operations on various Dataiku DSS resources. Specifically for the Machine Learning - Saved Model resource and the Get Version Details operation, it retrieves detailed information about a specific version of a saved machine learning model within a project.

Typical use cases include:

  • Fetching metadata or configuration details of a particular saved model version.
  • Integrating model version details into automated workflows for monitoring or deployment.
  • Auditing or reporting on model versions used in production.

Example: A user wants to get detailed information about version "v1" of a saved model with ID "model123" in project "myProject" to verify its parameters before deploying it.

Properties

Name Meaning
Project Key The unique identifier of the Dataiku project containing the saved model.
Save Model ID The identifier of the saved model whose version details are to be retrieved.
Version ID The identifier of the specific version of the saved model to get details for.

Output

The output is a JSON object containing the detailed information of the specified saved model version. This typically includes metadata such as version attributes, creation date, status, associated files, scoring information, and other relevant details provided by the Dataiku DSS API.

If the operation involves downloading binary content (not applicable for this operation), the node would output binary data prepared accordingly.

Dependencies

  • Requires an active connection to a Dataiku DSS instance.
  • Requires valid API credentials including the DSS server URL and a user API key.
  • The node uses HTTP requests to interact with the Dataiku DSS REST API endpoints.
  • No additional external dependencies beyond the configured API credentials.

Troubleshooting

  • Missing Credentials Error: If the node throws an error about missing credentials, ensure that the Dataiku DSS API credentials are properly configured in n8n.
  • Required Parameter Missing: Errors like "Project Key is required", "Save Model ID is required", or "Version ID is required" indicate that these input properties must be set for the operation to succeed.
  • API Request Failures: Network issues, incorrect server URLs, or invalid API keys can cause request failures. Verify connectivity and credential validity.
  • Unexpected Response Format: If the response cannot be parsed as JSON, check if the API endpoint has changed or if there are permission issues.

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