Machine Learning Analysis Data Dictionary

The Machine Learning Analysis Data Dictionary defines classes and attributes used to describe products generated by machine learning methods applied to PDS data. This information provides traceability for product provenance and credit to the creators.

Steward: Sara Bond, IMG Node

Documentation

• User Guide: See included file doc/Users-Guide.md

Latest Release

• Machine Learning Analysis
• GitHub
• Change log

Using This Repository

In this repository you will find...

• examples - Code samples for using this data dictionary
• src - The managed IngestLDD file that defines this data dictionary. This is where changes to the dictionary itself are made.
• build - The generated schema files for this data dictionary. The .xsd and .sch files can be found here, among other LDDTool output
• test - Regression tests for this data dictionary
• logs - Logs generated by the GitHub-automated build and test processes of LDDTool and Validate

Participate

Implement

See the tutorial on updating and building an IngestLDD and the LDD Update Process for more details.

Propose Updates

See the LDD Update Process

Contribute

Have a bug or feature request? Create one in the PDS4 Issue Repo.

Get Support

See the PDS Data Dictionaries Support page for more Support information.

Notes

Each build is auto-generated using Github Actions, PDS4 LDDTool, and Validate Tool.

You can manually run LDDTool on the IngestLDD using the following command:

lddtool -lpJ src/PDS4_ML_IngestLDD.xml

Note that this command must be run from the location in which lddtool was installed.