{"library":"torcheval","type":"library","category":null,"description":"TorchEval is a PyTorch library providing a simple interface to create new metrics and an easy-to-use toolkit for metric computations and checkpointing. It offers a rich collection of high-performance metric calculations out-of-the-box, leveraging PyTorch's vectorization and GPU acceleration. Currently at version 0.0.7, it maintains an active release schedule with regular updates and new metric additions.","language":"python","status":"active","version":"0.0.7","tags":["pytorch","metrics","evaluation","machine-learning","deep-learning"],"last_verified":"Mon May 25","install":[{"cmd":"pip install torcheval","imports":["from torcheval.metrics import Metric","from torcheval.metrics import BinaryAccuracy","from torcheval.metrics import MetricCollection"]}],"homepage":"https://pytorch.org/torcheval","github":"https://github.com/pytorch/torcheval","docs":null,"changelog":null,"pypi":"https://pypi.org/project/torcheval/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":1.9,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/torcheval/compatibility"}}