easyvvuq - v1.3

What's Changed

Heavily revised and improved documentation.
A range of fixes and enhancements based on the Hackathon in January 2025 by @wedeling in https://github.com/UCL-CCS/EasyVVUQ/pull/440
- Changed scanalysis.py to suppress divide by zero in Sobol index calculation, if a zero is present. (Unhandled divide by zero case in scanalysis.py #415 )
- fixed plotting error of analysis.analysis.adaptation_table() fails #430
- Failures when running the non-regression tests manually (1) #387 closed
Bump jinja2 from 3.1.5 to 3.1.6 by @dependabot in https://github.com/UCL-CCS/EasyVVUQ/pull/443
Improves EasyVVUQ installation script with better user experience by @mzrghorbani in https://github.com/UCL-CCS/EasyVVUQ/pull/442
Fixed pip installation (issue #445 by @wedeling in https://github.com/UCL-CCS/EasyVVUQ/pull/446 )

New Contributors

@dependabot made their first contribution in https://github.com/UCL-CCS/EasyVVUQ/pull/443

Full Changelog: https://github.com/UCL-CCS/EasyVVUQ/compare/v1.2.2.3...v1.3

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Published by djgroen over 1 year ago

easyvvuq - Prerelease for EasyVVUQ January 2025

Test for PyPi.

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Published by djgroen over 1 year ago

easyvvuq - SEAVEAtk Release July 2024

A few minor but important updates in this release:

Fixed a wide range of tests, library and dependency issues.
Incorporated a range of documentation improvements.
Added an example for using PCE with aleatoric uncertainty

Note that the readthedocs page is likely to be further expanded and updated in the weeks after this release.

- Jupyter Notebook
Published by djgroen about 2 years ago

easyvvuq - SEAVEAtk release July 2023

This is the July 2023 release of EasyVVUQ, as part of the SEAVEAtk, with the following minor updates:

Fixes and updates * Fixed several tests for newer Python versions. * Updated integration with QCG-PilotJob

Tutorials

SSC tutorial: https://github.com/UCL-CCS/EasyVVUQ/blob/dev/tutorials/simplexstochasticcollocation_tutorial.ipynb
Hyperparameter tuning tutorial, local sampling: https://github.com/UCL-CCS/EasyVVUQ/blob/dev/tutorials/hyperparametertuningtutorial.ipynb
Hyperparameter tuning tutorial, remote sampling with FabSim3: https://github.com/UCL-CCS/EasyVVUQ/blob/dev/tutorials/hyperparametertuningtutorialwithfabsim.ipynb

- Jupyter Notebook
Published by djgroen about 3 years ago

easyvvuq - SEAVEAtk release March 0223

This is the March 2023 release of EasyVVUQ, as part of the SEAVEAtk, with the following updates:

New features

New Simplex Stochastic Collocation sampler for irregular outputs, e.g. with discontinuities or high gradients in the stochastic input space. Works for scalar QoI only thus far.
Grid-Search sampler, (e.g. for neural-network hyper parameter tuning).
HDF5 decoder to allow for reading HDF5 output files, useful when dealing with outputs of different size.

Tutorials

SSC tutorial: https://github.com/UCL-CCS/EasyVVUQ/blob/dev/tutorials/simplexstochasticcollocation_tutorial.ipynb
Hyperparameter tuning tutorial, local sampling: https://github.com/UCL-CCS/EasyVVUQ/blob/dev/tutorials/hyperparametertuningtutorial.ipynb
Hyperparameter tuning tutorial, remote sampling with FabSim3: https://github.com/UCL-CCS/EasyVVUQ/blob/dev/tutorials/hyperparametertuningtutorialwithfabsim.ipynb

Usability updates * Make it more obvious how to import a pandas dataframe containing cases to be considered * Make it more obvious how to massage the results from the runs before performing the PCE/SC/MC analysis

- Jupyter Notebook
Published by wedeling over 3 years ago

easyvvuq - SEAVEA release

Overhaul of SC sampler / analysis class:

Made isotropic sparse-grid subroutines more scalable to higher input dimensions. Reused dimension-adaptive subroutines for this purpose, instead of having (slower) separate isotropic routines.
Rewrote dimension-adaptive SC expansion as a standard PCE expansion with generalized PCE coefficients. See adaptive sparse-grid tutorial.

Documentation:

Extensive methodological sparse-grid tutorial: https://www.researchgate.net/publication/359296270Adaptivesparse-grid_tutorial
New tutorial on using mathematical expressions involving parameters in template files using the Jinja encoder: https://github.com/UCL-CCS/EasyVVUQ/blob/dev/tutorials/jinja_tutorial.ipynb

- Jupyter Notebook
Published by wedeling about 4 years ago

easyvvuq - M42 release

New features:

Updated the documentation in a range of places.

Bug fixes:

*Fixed direct integration of EasyVVUQ with QCG-PilotJob. Previously there was an issue with large campaigns where the integration could fail due to an excessively long command-line argument. *Fixed bug where unsuitable models could be applied with QCG-PilotJob integration. *Fixed MC sampler for use with 1 parameter: https://github.com/UCL-CCS/EasyVVUQ/commit/fac0b5701db2fefed00b6a81120854ed0109fdc6

Tutorials:

Added an example for including noise in an EasyVVUQ campaign ( easyvvuqIshigamiwithnoisetutorial.ipynb)

- Jupyter Notebook
Published by wedeling over 4 years ago

easyvvuq - EasyVVUQ v1.1

New features:

Ability to add external runs via a DataFrame
Ability to execute EasyVVUQ workflows from R

Tutorials: - Updates to Dimension Adaptive Fusion tutorial.

- Jupyter Notebook
Published by orbitfold almost 5 years ago

easyvvuq - EasyVVUQ v1.0

EasyVVUQ v1.0

New Features

Better support to execute pure Python simulations.
Added a surrogate method to AnalysisResults classes.
QCG-PJ support.
Gaussian Process Surrogate analysis method.
Reworked Campaign and hand optimised database.
Re-implemented Actions system for modular execution options.
DataFrameSampler for uploading new

Updates

Large scale code refactoring.
Docstring and documentation updates.
Additional testing and benchmarking.
Continuous benchmarking.

- Jupyter Notebook
Published by orbitfold about 5 years ago

easyvvuq - EasyVVUQ v0.9.3

A bug-fix release.

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Published by orbitfold about 5 years ago

easyvvuq - EasyVVUQ v0.9.2

Minor release with some updates.

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Published by orbitfold about 5 years ago

easyvvuq - EasyVVUQ v0.9.1

Fixing some bugs introduced in v0.9.

- Jupyter Notebook
Published by orbitfold over 5 years ago

easyvvuq - EasyVVUQ v0.9

New features:

MCMC support for calibration problems.
Rework of the actions framework to allow a wider range of execution scenarios and to simplify the code base.
CSV sampler for loading in data created with other software.

Updates:

New, simplified workflows due to refactoring efforts.
New tutorials and binder integration.

- Jupyter Notebook
Published by orbitfold over 5 years ago

easyvvuq - EasyVVUQ v0.8

EasyVVUQ v0.8 - EasyVVUQ M30 release

New features: * Convenient relocation of campaigns that need to be moved to another storage location and then further worked on. * Added a new AnalysisResults class that represents analysis results. It can be used to inform further sampling and simulations. It also provides a consistent interface between Analysis classes and the user. * Plotting functionality in the AnalysisResults class. * Added Cerberus validation of the Decoder output.

Updates: * Changed the interface between Decoders and the Database - Decoders are now mandated to return dictionaries instead of pandas DataFrames. * Removed Collaters - moved that functionality to the database.

- Jupyter Notebook
Published by orbitfold over 5 years ago

easyvvuq - EasyVVUQ v0.7.3.1

This is a bug-fix release for v0.7.3.

- Jupyter Notebook
Published by orbitfold over 5 years ago

easyvvuq - EasyVVUQ v0.7.3

The collation and decoding system was reworked.

- Jupyter Notebook
Published by orbitfold over 5 years ago

easyvvuq - EasyVVUQ v0.7.2

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Published by orbitfold over 5 years ago

easyvvuq - EasyVVUQ v0.7.1.5

- Jupyter Notebook
Published by orbitfold almost 6 years ago

easyvvuq - EasyVVUQ v0.7.1.4

Updates to the anaconda publish workflow.

- Jupyter Notebook
Published by orbitfold almost 6 years ago

easyvvuq - EasyVVUQ v0.7.1.3

- Jupyter Notebook
Published by orbitfold almost 6 years ago

easyvvuq - EasyVVUQ v0.7.1.2

Pip issues.

- Jupyter Notebook
Published by orbitfold almost 6 years ago

easyvvuq - EasyVVUQ v0.7.1.1

Fix some issues with pip.

- Jupyter Notebook
Published by orbitfold almost 6 years ago

easyvvuq - EasyVVUQ 0.7

Important changes since v0.6

Added Kubernetes support via the ExecuteKubernetes action. This allows the user to execute their VVUQ workflows on a Kubernetes cluster with minimal set-up overhead.
Reworked the actions mechanism. In preparation of implementing it using the Futures mechanism which would allow for a more interactive use of the framework.
Improvements to the Monte Carlo sampling and analysis classes.
Documentation restructuring and new tutorials.
Added a CopyEncoder for easier handling of arbitrary configuration files.
Added a large interactive Jupyter notebook tutorial covering the major features of the software.
Added a ReplicaSampler class for sampling simulations with different seed values.
Greatly expanded testing coverage. Most of the essential functionality is covered by high-quality tests that check for the correctness of the results.

- Jupyter Notebook
Published by orbitfold almost 6 years ago