{"push_id":1114968048,"size":3,"distinct_size":3,"ref":"refs/heads/master","head":"17104eb8c9352c9ddc9fa4882f546e30f00db747","before":"85daa994de8241528fde747cb40461c9ddf6e6c1","commits":[{"sha":"0010bb711ea0493b9e0827e40b5710a9e85e627a","author":{"email":"fc3e12cc30e3ccb9fbd91af99c5e014ac000b6a5@imacs.polytechnique.fr","name":"Sofiane HADDAD"},"message":"Customize ottemplate for otmorris","distinct":true,"url":"https://api.github.com/repos/openturns/otmorris/commits/0010bb711ea0493b9e0827e40b5710a9e85e627a"},{"sha":"f78f3bf68c6862fc3c41f7bf006bb91e4fd9d1f0","author":{"email":"fc3e12cc30e3ccb9fbd91af99c5e014ac000b6a5@imacs.polytechnique.fr","name":"Sofiane HADDAD"},"message":"Update test to write UC\n\nAdd sparse MorrisExperiment class\n\nThe class enables to define intial experiments for Morris method\n\nStart docstring for MorrisExperiment\n\nUpdate UC to conform the OT naming of classes\n\nUpdate sparse Morris class\n\nStart the docstring for Morris class\n\nAdd missing const in MorrisExperiment\n\nAdd missing const in Morris, update get{Mean,StandardDeviation}Effects argument method\n\nUpdate MorrisExperiment constructors\n\nMinor fix in save attributes\n\nAdd new attribut in MorrisExperiment\n\nUpdate MorrisExperiment docstring\n\n - Use of new constructors\n - Document the `generate` method\n\nUpdate Morris docstring\n\nDocument get{Mean, StandardDeviation}Effects methods\n\nUpdate Morris class and its docstring.\n\n - Rename getter for mean/standard deviation elementary effects\n - Add getter for mean of absolute elementary effects\n - Add attributs in class\n\nAdd python plot sensitivity which enables to plot EE\n\nAdd constructor to Morris method\n\nThe constructor takes into account a model (NumericalMathFunction) if model is\navailable\n\nUpdate __init__ of Morris module\n\nCosmetics in plot_sensitivity\n\nRemove uselless forward declaration in MorrisExperiment\n\nStart implementation of MorrisExperiment\n\nMade MorrisExperiment default constructor as protected\n\nUpdate MorrisExperiment\n\nAdd internal methods for generate to distinguish between lhs and grid designs\n\nUpdate MorrisExperiment::generate\n\n - Update internal methods for the generation of xBase point\n - Add method that define the p-th column of the orientation matrix\n - Remove useless attribut (orientation, direction, permutation matrices)\n - Fix MorrisExperiment constructors: experiment_ attribut stores a standard\n   lhs (in [0,1]^d)\n - Implement generate method.\n\nUpdate Morris class\n\n - Remove useless attributs\n - Implement the evaluation of elemenary effects and the related statistics\n\nadd script for validation of MorrisExperiment\n\nRename python test\n\nAdd log debug in MorrisExperiment\n\nfix plot sensitivity\n\nAdd python script for Morris function\n\nUpdate Morris function\n\nAdd Morris function into the module\n\n - Define functions tool in otmorris python api that rely on Numpy\n - Remove morris_fun in python/test\n\nUpdate examples guide. Ongoing work\n\nMinor update in plot sensitivity\n\nCosmetics in docstring\n\nStart updating validation\n\nUpdate plot_sensitivity\n\n - Perform check of input arguments\n - Add grid in graph\n - Perform x/y labels\n\nUpdate validation\n\n  Add new figures and complete the validation part of documentation\n\nFix example.py\n\nupdate examples\n\nupdate user manual\n\nFix some docstring\n\nFix template class in user_manual\n\nUpdate python test for MorrisExperiment\n\nFix MorrisExperiment\n\nIn case of initial LHS design, step is 1/N and not 0.5 / N\nAlso we check that for each trajectory, all points are in the domain.\nDirections are randomly generated and path is adapted if next points are out\nof domain\n\nValidation is required.\n\nUpdate python test: MorrisExperiment encapsulates both grid/lhs use cases\n\nUpdate MorrisExperiment\n\nAdd validation part : check that for each trajectory, we select one column at\ntime\n\nUpdate Morris test\n\nFix cmake test\n\ncosmetics in MorrisExperiment\n\nAdd jumpStep argument.\n\nThe argument will let user define the \"grid.jump\" argument\n\nAdd a GenerateLHS method to MorrisExperiment\n\nOT does not provide generation of centered LHS, thus the static method helps\nfor that purpose\n\nUpdate Morris class\n\n - More constructors with input model\n - Update docstringe\n\nUpdate Morris cxx test\n\nAdd filtering of replicate trajectories in MorrisExperiment\n\nMinor updates in Morris\n\nFix t_Morris test\n\nupdate python test due to changes in API\n\nCosmetics\n\nFix jumpStep type\n\nAs it contains integers, jumpStep_ is now an Indices\nAlso, check tests have been updated.\n\nFix sphinx_pdf generation","distinct":true,"url":"https://api.github.com/repos/openturns/otmorris/commits/f78f3bf68c6862fc3c41f7bf006bb91e4fd9d1f0"},{"sha":"17104eb8c9352c9ddc9fa4882f546e30f00db747","author":{"email":"77337cbc77f0e63d69dab1a33267d7d359639d42@imacs.polytechnique.fr","name":"Denis Barbier"},"message":"Disable t_docstring.py\n\nThis test passes when run interactively, but fail when run\nby ctest.  This has to be investigated.","distinct":true,"url":"https://api.github.com/repos/openturns/otmorris/commits/17104eb8c9352c9ddc9fa4882f546e30f00db747"}]}