gnu: Add python-iml.
* gnu/packages/machine-learning.scm (python-iml): New variable.
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;;; Copyright © 2018 Fis Trivial <ybbs.daans@hotmail.com>
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;;; Copyright © 2018 Fis Trivial <ybbs.daans@hotmail.com>
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;;; Copyright © 2018 Julien Lepiller <julien@lepiller.eu>
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;;; Copyright © 2018 Julien Lepiller <julien@lepiller.eu>
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;;; Copyright © 2018 Björn Höfling <bjoern.hoefling@bjoernhoefling.de>
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;;; Copyright © 2018 Björn Höfling <bjoern.hoefling@bjoernhoefling.de>
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;;; Copyright © 2019 Nicolas Goaziou <mail@nicolasgoaziou.fr>
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;;;
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;;;
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;;; This file is part of GNU Guix.
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;;; This file is part of GNU Guix.
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;;;
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;;;
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@ -1753,3 +1754,30 @@ API for beginners that allows users to build models quickly by plugging
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together building blocks and a subclassing API with an imperative style for
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together building blocks and a subclassing API with an imperative style for
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advanced research.")
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advanced research.")
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(license license:asl2.0)))
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(license license:asl2.0)))
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(define-public python-iml
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(package
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(name "python-iml")
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(version "0.6.2")
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(source
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(origin
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(method url-fetch)
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(uri (pypi-uri "iml" version))
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(sha256
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(base32
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"1k8szlpm19rcwcxdny9qdm3gmaqq8akb4xlvrzyz8c2d679aak6l"))))
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(build-system python-build-system)
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(propagated-inputs
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`(("ipython" ,python-ipython)
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("nose" ,python-nose)
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("numpy" ,python-numpy)
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("pandas" ,python-pandas)
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("scipy" ,python-scipy)))
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(home-page "http://github.com/interpretable-ml/iml")
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(synopsis "Interpretable Machine Learning (iML) package")
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(description "Interpretable ML (iML) is a set of data type objects,
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visualizations, and interfaces that can be used by any method designed to
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explain the predictions of machine learning models (or really the output of
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any function). It currently contains the interface and IO code from the Shap
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project, and it will potentially also do the same for the Lime project.")
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(license license:expat)))
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