gnu: Add python-torchmetrics.

* gnu/packages/machine-learning.scm (python-torchmetrics): New variable.
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Ricardo Wurmus 2023-05-10 08:37:04 +02:00
parent 1aa1a6a816
commit 8f97d96ddf
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@ -3465,6 +3465,54 @@ (define-public python-lightning-utilities
Actions for the Lightning suite of libraries.")
(license license:asl2.0)))
(define-public python-torchmetrics
(package
(name "python-torchmetrics")
(version "0.11.4")
(source (origin
(method url-fetch)
(uri (pypi-uri "torchmetrics" version))
(sha256
(base32
"150lcy6c20n42rwxl4d3m1b8s4js9ddds5wh3685vmjdnha5mr0z"))))
(build-system pyproject-build-system)
(propagated-inputs
(list python-numpy python-packaging python-pytorch
python-typing-extensions))
(native-inputs
(list python-cloudpickle
python-coverage
python-fire
python-mir-eval
python-mypy
python-pandas
python-psutil
python-pytest
python-pytest-cov
python-pytest-doctestplus
python-pytest-rerunfailures
python-pytest-timeout
python-requests
python-scikit-image
python-scikit-learn
python-scipy
python-types-protobuf
python-types-setuptools))
(home-page "https://github.com/Lightning-AI/metrics")
(synopsis "Machine learning metrics for PyTorch applications")
(description "TorchMetrics is a collection of 100+ PyTorch metrics
implementations and an easy-to-use API to create custom metrics. It offers:
@itemize
@item A standardized interface to increase reproducibility
@item Reduces boilerplate
@item Automatic accumulation over batches
@item Metrics optimized for distributed-training
@item Automatic synchronization between multiple devices
@end itemize
")
(license license:asl2.0)))
;; Keep this in sync with python-pytorch
(define-public python-torchvision
(package