This section covers the usage of Renate from the installation to the training of a model. The content is intended to explain the basic steps to be taken when creating a new training pipeline based on Renate.
If your goal is to test multiple Renate algorithms on your dataset or to test a specific algorithm on multiple datasets and scenarios, you will be better served by the benchmarking functionalities provided in Renate Benchmarks.
- How to Write a Config File
- How to Run a Training Job
- Renate’s output
- Supported Algorithms
- Avalanche - Usage and Limitations
- Distribution Shift Detection