openturns: Add python-otpod.

* guix-science/packages/openturns.scm (python-otpod): New variable.

1 files changed, 42 insertions, 0 deletions

diff --git a/guix-science/packages/openturns.scm b/guix-science/packages/openturns.scm
index 4f6c116..24abdc8 100644
--- a/guix-science/packages/openturns.scm
+++ b/guix-science/packages/openturns.scm
@@ -3,13 +3,16 @@
 (define-module (guix-science packages openturns)
   #:use-module (gnu packages algebra)
   #:use-module (gnu packages boost)
+  #:use-module (gnu packages check)
   #:use-module (gnu packages machine-learning)
   #:use-module (gnu packages maths)
   #:use-module (gnu packages mold)
   #:use-module (gnu packages multiprecision)
   #:use-module (gnu packages oneapi)
   #:use-module (gnu packages python)
+  #:use-module (gnu packages python-build)
   #:use-module (gnu packages python-xyz)
+  #:use-module (gnu packages statistics)
   #:use-module (gnu packages swig)
   #:use-module (gnu packages xml)
   #:use-module (guix-science packages statistics)
@@ -362,3 +365,42 @@ optimization problems.")
     (description
      "This package provides a module for OpenTURNS for support vector machine.")
     (license license:lgpl3)))
+
+(define-public python-otpod
+  (package
+    (name "python-otpod")
+    (version "0.6.14")
+    (source
+     (origin
+       (method git-fetch)
+       (uri (git-reference
+             (url "https://github.com/openturns/otpod")
+             (commit (string-append "v" version))))
+       (file-name (git-file-name name version))
+       (sha256
+        (base32 "1czg7z27zy0plp7fqkadm3d4rsss5vkldxnpxwf43xqimmn30kna"))))
+    (build-system pyproject-build-system)
+    (arguments
+     (list
+      #:test-flags
+      #~(list
+         ;; Requires nbconvert.
+         "--ignore=test/test_notebook.py")))
+    (propagated-inputs (list openturns python-decorator python-matplotlib
+                             python-scikit-learn python-statsmodels))
+    (native-inputs (list python-pytest python-setuptools))
+    (home-page "https://openturns.github.io/otpod/master/")
+    (synopsis "Probability of detection for OpenTURNS")
+    (description
+     "This package enables to build Probability of Detection (POD) curves from
+Non Destructive Test.  The curves are built using parametric models: univariate
+linear regression, quantile regression, kriging and polynomial chaos.  Analysis
+can be run in order to test the linear regression hypothesis.
+
+PoD can be built from a set of data or directly from a given physical model that
+simulate the Non Destructive Test.  In this case, the design of experiments is
+defined iteratively.
+
+Sensitivity analysis can be also be performed.  The aggregated Sobol indices
+are available as well as the perturbation law indices.")
+    (license license:lgpl3)))