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.

pip install codegaze

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0.0.23a0 pre-release

Aug 17, 2022

0.0.22a0 pre-release

Aug 16, 2022

0.0.21a0 pre-release

Aug 16, 2022

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0.0.2a0 pre-release

Aug 10, 2022

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Aug 10, 2022

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