Release history

Version 1.9 - Pennyworth

New features

  • Sobol’ indices on a 2D map with visualization.mesh_2D(), by Robin Campet,

  • Stacking and coloring option for visualization.Kiviat with keywords stack_order and cbar_order, by Pamphile Roy,

  • MST criteria with space.Space.mst(), by Pamphile Roy,

  • visualization.density for moment independant sensitivity measures, by Pamphile Roy,

  • COSI indices uq.cosi(), by Pamphile Roy,

  • space.gp_sampler.GpSampler, by Matthias De Lozzo.

  • surrogate.Mixture to construct mixture of expert models, by Remi Macadre,

  • functions.DbGeneric to sample from a generic dataset.

Enhancements

  • Ensure sample/data pairs on reading, by Pamphile Roy,

  • surrogate.SurrogateModel I/O consistency, by Pamphile Roy,

  • Different options for discrepancy computation (MD, WD), by Pamphile Roy,

  • Sobol’ indices polar visualization with keyword polar, by Pamphile Roy,

  • Refactor pod.Pod, by Pamphile Roy.

Bug fixes

  • Driver with multifidelity, by Pamphile Roy,

  • Hypercube for refinement, by Pamphile Roy,

  • POD averaging, by Pamphile Roy.

Version 1.8 - Falcone

New features

  • Quantile dot plot visualization option for the PDF, by Pamphile Roy,

  • Sparce methods and hyperbolic truncation for PC with new keyword SparseLS, by Andrea Trucchia,

  • New space.Sample container. Samples are storred collectivelly. by Cyril Fournier,

  • New provider with tasks.remote_executor.RemoteExecutor, which enable snapshots to be remotelly computed. To be set with new keyword hosts, by Cyril Fournier,

  • And tasks.remote_executor.MasterRemoteExecutor which allows multiple remote hosts. It handles load balancing with keyword weight, by Pamphile Roy.

Enhancements

  • Write DoE only once in the driver, by Robin Campet,

  • Replace OpenTURNS’ POD with up-to-date methods, by Julien Schueller.

Bug fixes

  • Set seed for OpenTURNS, by Pamphile Roy,

  • Pickling issues with LS, by Pamphile Roy,

  • GP pickling in functional cases, by Pamphile Roy,

  • Restart from file using discover, by Robin Campet.

Version 1.7.3 - Lucius

Note

This version includes all comments from JOSS’ reviewers. See the review.

New features

  • Refactor input_output. Remove fortran and greatly simplify IO handling. by Cyril Fournier,

  • Add extremum option in settings for resampling, by Pamphile Roy,

  • Add surrogate.SklearnRegressor as an interface to all Scikit-Learn regressors. Available through method in surrogate’s settings. by Pamphile Roy.

Enhancements

  • Do not compute quality for optimization and discrepancy, by Pamphile Roy,

  • Reduce bounds amplitude and add warning for convergence, by Pamphile Roy.

Bug fixes

  • Remove documentation from gitlab pages, by Pamphile Roy.

Version 1.7.2 - Lucius

New features

  • Refactor tasks.snapshot. Settings have been simplified and code maintenance has been eased. by Cyril Fournier,

  • Add new visualization visualization.Tree for 2D, by Pamphile Roy,

  • Add global_optimizer option in settings for Kriging, by Pamphile Roy,

  • Move documentation to read the docs, by Pamphile Roy,

  • Add documentation for MASCARET and PCE, by Matthias De Lozzo.

Enhancements

  • Export visualization.Kiviat as a mesh, by Pamphile Roy,

  • Some visualization for MASCARET, by Sophie Ricci.

Bug fixes

  • Point mixing when snapshots already exists, by Pamphile Roy,

  • Outlier are computed only once in f-HOPs, by Pamphile Roy,

  • PDF scaling, by Pamphile Roy,

  • Legend list for forward compatibility with MPL, by Pamphile Roy,

  • Range color bar, visualization ticks default, by Pamphile Roy,

  • Driver exceptions, by Pamphile Roy,

  • Encoding errors in schema with python 3.5, by Pamphile Roy,

  • Settings checking was not effective, by Pamphile Roy.

Version 1.7.1 - Lucius

New features

  • Add a fill option in visualization.Kiviat, by Pamphile Roy,

  • Add bounds option in visualization settings, by Pamphile Roy,

  • visualization.Kiviat automatically used by driver if dim > 4, by Robin Campet,

  • Allow duplicate points in space.Space, by Pamphile Roy.

Enhancements

  • Visualization settings taken into account for PDF, legend outside, by Pamphile Roy,

  • Refactor space.Space error handling, by Pamphile Roy,

  • Documentation reorganization, by Jean-Christophe Jouhaud.

Bug fixes

  • visualization.Kiviat filling and ordering, by Pamphile Roy,

  • Maths in documentation as PNG, by Pamphile Roy,

  • Projection strategy in surrogate.PC, by Pamphile Roy,

  • Circular imports from functions.utils.multi_eval(), by Sophie Ricci,

  • Variance in LOO Q2, by Romain Dupuis,

  • surrogate.PC restart with LS strategy, by Andrea Trucchia.

Version 1.7 - Lucius

New features

  • Add space.Space.discrepancy() function in Space, by Pamphile Roy,

  • Refactor space.Space, uq.UQ, by Pamphile Roy, space.Refiner initiate without dictionnary, by Pamphile Roy,

  • Refactor surrogate.PC and add options in settings: degree, strategy (Quad or LS), by Pamphile Roy,

  • Add space.Refiner.discrepancy(), and space.Refiner.sigma_discrepancy(), by Pamphile Roy,

  • Add quality for every surrogate model, by Pamphile Roy,

  • Be able to bypass POD and surrogate in settings, by Pamphile Roy,

  • Surrogate facultative for UQ, by Pamphile Roy,

  • Add visualization with: Kiviat, DoE, HDR by Pamphile Roy,

  • and response_surface with block visualization in settings, by Robin Campet,

  • Add distributions in settings to set a distribution per parameter, by Pamphile Roy,

  • Add discrete in settings to tell the indice of the discrete paramter, by Pamphile Roy,

  • Add functions.Data for datasets with some new ones,

  • Add optimized LHS, by Vincent Baudoui,

  • Add noise and kernel for Kriging in settings, by Andrea Trucchia,

  • Header is now a JSON file, by Cyril Fournier,

  • Concurrent CI, by Cyril Fournier,

  • pylint/pycodestyle for CI and Python2 on develop and master branches, by Pamphile Roy,

  • Add about section in doc, by Pamphile Roy.

Enhancements

  • Remove loops in predictors, zip, by Pamphile Roy,

  • Backend overwright for matplotlib removed, by Pamphile Roy,

  • Remove otwrapy, by Pamphile Roy,

  • JSON schema constrained for surrogate and sampling, by Pamphile Roy,

  • Refactor pod.Pod, by Pamphile Roy,

  • Sobol’ indices with ensemble, by Pamphile Roy,

  • Remove support for OpenTURNS < 1.8, by Pamphile Roy,

  • Add some options for functions.MascaretApi, by Pamphile Roy,

  • Coverage and tests raised to 90%, by Pamphile Roy.

Bug fixes

  • Quality with multimodes with POD, by Pamphile Roy,

  • List in sampling settings, by Pamphile Roy,

  • Restart and restart from files, by Pamphile Roy,

  • Other file read with restart, by Cyril Fournier,

  • Variance and FAST, by Pamphile Roy,

  • Double prompt in python 2.7, by Vincent Baudoui,

  • DoE as list, by Vincent Baudoui,

  • Inputs mocking in tests, by Pamphile Roy,

  • DoE diagonal scaling, by Pamphile Roy,

  • functions.MascaretApi multi_eval, by Pamphile Roy,

  • Block indices, by Pamphile Roy,

  • Installation without folder being a git repository, by Cyril Fournier,

  • Fortran compilation, by Cyril Fournier,

  • Normalize output in surrogate.Kriging, by Pamphile Roy.

Version 1.6 - Selina

New features

Enhancements

  • Allow *args and **kwargs in @multi_eval, by Pamphile Roy,

  • Add some analytical functions for optimization and multifidelity tests, by Pamphile Roy,

  • Do not use anymore .size for space sizing, by Pamphile Roy,

  • Add test for DoE, by Pamphile Roy,

  • Add PDFs of references to doc, by Pamphile Roy,

  • Refinements methods work with discrete values using an optimizer decorator, by Pamphile Roy,

  • Changed some loops in favor of list comprehensions, by Pamphile Roy,

  • Clean UI by removing prediction option, by Pamphile Roy,

  • Remove MPI dependencie, by Pamphile Roy.

Bug fixes

  • Sensitivity indices with n-dimensional output changing Martinez, by Pamphile Roy,

  • A copy of the space is done for scaled points for surrogate fitting, by Pamphile Roy,

  • Uniform sampling was not set properly, by Pamphile Roy,

  • Backend for matplotlib is now properly switched, by Pamphile Roy,

  • POD quality was not computed in case of varying number of modes, by Pamphile Roy.

Version 1.5 - Oswald

New features

  • Python3 support, by Pamphile Roy,

  • Add surrogate.surrogate_model.SurrogateModel, by Pamphile Roy,

  • Add progress bar during quality computation, by Pamphile Roy,

  • Use pathos for multiprocessing during LOO and Kriging. New misc.nested_pool allow nested pool. by Pamphile Roy,

  • Unittests and functionnal tests using Pytest, by Pamphile Roy,

  • Antares wrapper used for IO, by Pamphile Roy,

  • OT1.8 support and use of new SA classes, by Pamphile Roy,

  • Add plot of aggregated indices, by Pamphile Roy,

  • Add snipets, by Pamphile Roy,

  • Add correlation and covariance matrices, by Pamphile Roy,

  • Add DoE visualization in n-dimension, by Pamphile Roy,

  • Hypercube for refinement created using discrete and global optimization, by Pamphile Roy,

  • Merge some PyUQ functions and add surrogate.PC, by Pamphile Roy.

Enhancements

  • Refactor space, surrogate, snapshots, pod, by Pamphile Roy,

  • Rewrite settings.json, by Pamphile Roy,

  • POD is now optional, by Pamphile Roy,

  • Use a wrapper for OT evaluations with otwrapy, by Pamphile Roy,

  • Comment capability to settings.json, by Pamphile Roy,

  • Doc cleanning, by Pamphile Roy,

  • Use functions to test model error, by Pamphile Roy,

  • Remove some MPI functions, by Pamphile Roy,

  • Simplify hybrid navigator using generator, by Pamphile Roy.

Bug fixes

  • Use of timeout option, by Pamphile Roy,

  • Remove snapshots.tar, by Pamphile Roy,

  • FAST indices for aggregated indices, by Pamphile Roy,

  • Update keyword for POD, by Pamphile Roy,

  • Verbosity with quality, by Pamphile Roy,

  • Setup dependencies, by Pamphile Roy,

  • Some RBF cleanning, by Pamphile Roy,

  • Term MSE changed to sigma, by Pamphile Roy,

  • Snapshot repr, by Pamphile Roy,

  • Add .so when packaging, by Pamphile Roy.

Version 1.4

New features

  • Enhance surrogate.kriging: adimentionize input parameters, use anisotropic kernel and use genetic algorithm for parameters optimization, by Pamphile Roy,

  • Settings are now written in JSON and checked using a schema, by Pamphile Roy,

  • Ask for confirmation of output if exists: if no, ask for restarting from files, by Pamphile Roy,

  • Add post-treatment example scripts in test_cases/Post-treatment, by Pamphile Roy.

Enhancements

  • Save points of the DOE as human readable file, by Pamphile Roy,

  • Add branch and commit information to log, by Pamphile Roy,

  • Add doc for tutorial, space, surrogate and pod, by Pamphile Roy,

  • Change Scikit-Learn to stable 0.18, by Pamphile Roy,

  • Restart option -r now working properly, by Pamphile Roy,

  • Create a misc which contains logging and json schema, by Pamphile Roy.

Bug fixes

  • Refiner navigator loops correctly, by Pamphile Roy,

  • LOOCV working for multimodes, by Pamphile Roy,

  • Revert Q2 variance to use eval_ref, by Pamphile Roy,

  • Avoid extra POD quality when using LOOCV strategies, by Pamphile Roy,

  • Popping space was not working properly, by Pamphile Roy.

Version 1.3

New features

  • Add resampling strategies with space.refiner. Possibilities are: None, MSE, loo_mse, loo_sobol, hybrid, by Pamphile Roy,

  • Computation of the error of the pod Q2 with option -q2. Uses Kriging, by Pamphile Roy,

  • Aggregated and block Sobol’ indices are computed using a set of keywords: aggregated and block, by Pamphile Roy,

  • Add the possibility to chose the PDF for propagation. (settings), by Pamphile Roy,

  • Sobol’ map are computed using the keyword aggregated, by Pamphile Roy,

  • A Sphinx documentation is available in: /doc, by Pamphile Roy.

Enhancements

  • Change command line interface parsing with argparse. Also remove --plot option and add output default repository, by Pamphile Roy,

  • Installation is more Pythonic has it uses now a setup.py script, by Pamphile Roy,

  • The project can be imported: import jpod, by Pamphile Roy,

  • Settings are defined ones as an attribute of driver, by Pamphile Roy,

  • Logger is now simpler and configuration can be changed prior installation in: /misc/logging.json, by Pamphile Roy,

  • When defining a sample size for UQ, the value is used for indices and propagation, by Pamphile Roy,

  • The keyword pod['quality'] correspond now to the targeted Q2, by Pamphile Roy,

  • Add Python3 compatibility, by Pamphile Roy.

Bug fixes

  • Kriging was not working with several modes, by Pamphile Roy,

  • Output folder for uq was not working, by Pamphile Roy,

  • NaN for uncertainty propagation, by Pamphile Roy,

  • Remove auto keyword from pod['type'], by Pamphile Roy.

Version 1.2

New features

  • Add uncertainty quantification capability with uq and the option -u. sobol or FAST indices are computed on a defined sample size. Configuration is done within settings dictionnary file. Test functions are available. An output folder uq is created and contains indices and propagation data, by Pamphile Roy,

  • New test case Function_3D used to demonstrate UQ capabilities of the tool, by Pamphile Roy,

  • Sampling is now done using the package OpenTURNS, by Pamphile Roy,

  • New test case Channel_Flow used to demonstrate 1D vector output capabilities, by Pamphile Roy,

Enhancements