Release history¶
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 throughmethod
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 invisualization.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 inSpace
, 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()
, andspace.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¶
- Add
functions.MascaretApi
, by Pamphile Roy,- Add Evofusion with
surrogate.Evofusion
, by Pamphile Roy,- Add Expected Improvement with
space.Refiner.optimization()
, by Pamphile Roy,- Be able to have a discrete parameter, by Pamphile Roy.
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 addsurrogate.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
andblock
, 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
orFAST
indices are computed on a defined sample size. Configuration is done within settings dictionnary file. Test functions are available. An output folderuq
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¶
- Kriging is now done using the module
sklearn.gaussian_process
from the package Scikit-Learn, by Pamphile Roy.