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gnu: Add python-captum.
* gnu/packages/machine-learning.scm (python-captum): New variable.
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@ -3868,6 +3868,51 @@ (define-public python-lightning-utilities
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Actions for the Lightning suite of libraries.")
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(license license:asl2.0)))
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(define-public python-captum
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(package
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(name "python-captum")
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(version "0.6.0")
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(source (origin
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(method git-fetch)
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(uri (git-reference
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(url "https://github.com/pytorch/captum")
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(commit (string-append "v" version))))
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(file-name (git-file-name name version))
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(sha256
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(base32
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"1h4n91ivhjxm6wj0vgqpfss2dmq4sjcp0appd08cd5naisabjyb5"))))
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(build-system pyproject-build-system)
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(arguments
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(list
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#:test-flags
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'(list "-k"
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;; These two tests (out of more than 1000 tests) fail because of
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;; accuracy problems.
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"not test_softmax_classification_batch_multi_target\
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and not test_softmax_classification_batch_zero_baseline")))
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(propagated-inputs (list python-matplotlib python-numpy python-pytorch))
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(native-inputs (list jupyter
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python-annoy
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python-black
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python-flake8
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python-flask
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python-flask-compress
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python-ipython
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python-ipywidgets
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python-mypy
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python-parameterized
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python-pytest
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python-pytest-cov
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python-scikit-learn))
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(home-page "https://captum.ai")
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(synopsis "Model interpretability for PyTorch")
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(description "Captum is a model interpretability and understanding library
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for PyTorch. Captum contains general purpose implementations of integrated
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gradients, saliency maps, smoothgrad, vargrad and others for PyTorch models.
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It has quick integration for models built with domain-specific libraries such
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as torchvision, torchtext, and others.")
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(license license:bsd-3)))
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(define-public python-readchar
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(package
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(name "python-readchar")
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