How-To Guides

These walkthroughs illustrate how to test your ML models across different modalities: Tabular, Natural Language Processing (NLP), and Computer Vision (CV). Each walkthrough provides steps to run the examples using the bundled sample data in rime_trial/ or your own models and data.

These guides will make use of the rime-engine CLI, which is accessible through the Python package.

Be sure to complete Installation before proceeding!

Tabular

For ML tasks like Binary Classification, Multi-Class Classification, Regression, and Ranking.

Follow these comprehensive guides for walkthroughs of core RI features:

Familiar with RI and know what you need? See the references below:

NLP

For ML tasks like Text Classification and Named Entity Recognition.

Follow these comprehensive guides for walkthroughs of core RI features:

Familiar with RI and know what you need? See the references below:

CV

For ML tasks like Image Classification and Object Detection.

Follow these comprehensive guides for walkthroughs of core RI features:

Familiar with RI and know what you need? See the references below:

Troubleshooting

Stuck? Check out our troubleshooting guides below.