@@ 3737,31 3737,6 @@ in a fast and accurate way.")
(list python-numpy python-scipy))
(synopsis "Python interface for the XGBoost library")))
-(define-public python-iml
- (package
- (name "python-iml")
- (version "0.6.2")
- (source
- (origin
- (method url-fetch)
- (uri (pypi-uri "iml" version))
- (sha256
- (base32
- "1k8szlpm19rcwcxdny9qdm3gmaqq8akb4xlvrzyz8c2d679aak6l"))))
- (build-system pyproject-build-system)
- (propagated-inputs
- (list python-ipython python-numpy python-pandas python-scipy))
- (native-inputs
- (list python-nose python-setuptools))
- (home-page "https://github.com/interpretable-ml/iml")
- (synopsis "Interpretable Machine Learning (iML) package")
- (description "Interpretable ML (iML) is a set of data type objects,
-visualizations, and interfaces that can be used by any method designed to
-explain the predictions of machine learning models (or really the output of
-any function). It currently contains the interface and IO code from the Shap
-project, and it will potentially also do the same for the Lime project.")
- (license license:expat)))
-
(define-public gloo
(let ((version "0.0.0") ; no proper version tag
(commit "54cbae0d3a67fa890b4c3d9ee162b7860315e341")