Compare the performance of different LLM that can be deployed locally on consumer hardware. The expected good response and scores are generated by GPT-4.
- provides list of 55 categorical encoders, explains how to use the code as a supplement to Category Encoders Python module.
- categorizes encoders into families, explains how to reuse code from the benchmark to include your encoder or dataset in comparison
- categorizes encoders into families, explains how to reuse code from the benchmark to include your encoder or dataset in comparison
