Package profile

autoevals

Autoevals has 22 dependencies, 18 of which optional.

Packages depending on autoevals (1).
Package	Optional	Group
bedrock-agentcore	true	autoevals

tensorflow-model-analysisA library for analyzing TensorFlow models
tf-slimTensorFlow-Slim: A lightweight library for defining, training and evaluating complex models in TensorFlow
unstructured-inferenceA library for performing inference using trained models.
google-generativeaiGoogle Generative AI High level API client library and tools.
gradio-clientPython library for easily interacting with trained machine learning models
gradioPython library for easily interacting with trained machine learning models
mlxtendMachine Learning Library Extensions

Source: ClickPy

Autoevals has 22 dependencies, 18 of which optional.

Packages depending on autoevals (1).
Package	Optional	Group
bedrock-agentcore	true	autoevals

tensorflow-model-analysisA library for analyzing TensorFlow models
tf-slimTensorFlow-Slim: A lightweight library for defining, training and evaluating complex models in TensorFlow
unstructured-inferenceA library for performing inference using trained models.
google-generativeaiGoogle Generative AI High level API client library and tools.
gradio-clientPython library for easily interacting with trained machine learning models
gradioPython library for easily interacting with trained machine learning models
mlxtendMachine Learning Library Extensions