Metadata-Version: 1.0
Name: otpod
Version: 0.2
Summary: Build Probability of Detection curve
Home-page: UNKNOWN
Author: Antoine Dumas
Author-email: dumas@phimeca.com
License: UNKNOWN
Description-Content-Type: UNKNOWN
Description: .. image:: https://travis-ci.org/openturns/otpod.svg?branch=master
            :target: https://travis-ci.org/openturns/otpod
        
        .. image:: https://ci.appveyor.com/api/projects/status/j62doteuljm5cb8a?svg=true
            :target: https://ci.appveyor.com/project/openturns/otpod
        
        otpod module
        ============
        
        otpod is a module for `OpenTURNS <http://www.openturns.org>`_.
        
        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.
        
        Requirements
        ============
        
        This module is developped in python using several external modules :
        
        - openturns >= 1.6 (>=1.8 to use the SobolIndices class)
        - statsmodels >= 0.6
        - numpy >= 1.10
        - sklearn >= 0.17
        - matplotlib >= 1.5
        - scipy >= 0.17
        - logging >= 0.5
        - decorator >= 4.0
        
        
        Installation
        ============
        
        In a terminal, type in :
        
        .. code-block:: shell
        
            $ python setup.py install
            $ python setup.py install --user
        
        Add the user option to install without administrator rights.
        
        Or you can install the module using Anaconda repository.
        
        .. code-block:: shell
        
            $ conda install -c conda-forge otpod
        
        The documentation with examples is available `here <http://openturns.github.io/otpod/master>`_.
        
        Test are available in the 'test' directory. They can be launched with pytest and
        the following command in a terminal in the otpod directory:
        
        .. code-block:: shell
            
            $ pytest test/
        
Platform: UNKNOWN
