Debug code generation models
Project description
CodeGaze [Beta]: A library for evaluating and debugging code generation models
Still in development.
Code gaze implements a set of evaluation metrics and visualization tools for debugging code generation models.
CodeGaze is build around a set of abstractions that allow for the evaluation of code generation models.
- Dataset: An example code generation dataset e.g. humaneval.
- Experiment: A set of parameters that define the evaluation of a code generation model. Each experiment specifies things like the dataset, model properties (temperature, n_completions), and some metric properties.
- Model: A code generation model that can be evaluated. This is either an OpenAI model or a HuggingFace model.
The basic starting point is to run an experiment on a dataset with a list of models.
Installation
pip install codegaze
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