Release v.0.8.7

0.8.7 (2023-09-21)

• Update available methods list
• Pin numpy <= 1.24.0 due to GPy
• Update RTD configuration

Release v.0.8.6

0.8.6 (2023-03-07)

• Fix broken 0.8.5 by adding missing __init__.py to elfi/methods/bsl/

Release v.0.8.5

0.8.5 (2023-03-07)

• Fix the option to continue inference in model-based inference
• Move classifiers
• Fix readthedocs configuration
• Update penalty to shrinkage parameter conversion in synthetic likelihood calculation
• Update BSL pre sample methods
• Update BslSample
• Move ROMC tests
• Update to numpy 1.24
• Update readthedocs configuration
• Restrict numpy < 1.24 until codebase has been updated
• Update documentation-related files: docs, conf.py and requirements-dev.txt
• Update PULL_REQUEST_TEMPLATE.md
• Drop tests for py36 and add tests for py39 and py310
• Fix couple of minor bugs in ar1-model
• Update parent class in BOLFIRE
• Fix semiparametric synthetic likelihood with glasso/warton and add tests
• Fix plot marginals and remove plot summaries
• Fix stochastic volatility example
• Improve batch simulations in toad example
• Remove synthetic likelihood node and update BSL data collection
• Fix M/G/1 example
• Fix scratch assay example
• Add scratch assay example
• Add GP classifier for ratio estimation
• Fix multidimensional indexing in daycare example
• Add BSL method

Release v.0.8.4

0.8.4 (2021-06-13)

• Modify Lotka-Volterra model's priors as many methods do not support discrete random variables.
• Fix acquisition index in state plot
• Reformat summary() for Sample(ParameterInferenceResult)
• Fix linting in arch.py
• Add summary statistics to Lotka-Volterra model
• Add boolean observation_noise option to lotka_volterra
• Add parameter names as an optional input in model prior and fix the parameter order in priors used in BOLFI and BOLFIRE
• Add feature names as an optional input and make training data size a required input in BOLFIRE
• Fix the observed property in simulator nodes
• Fix default outputs in generate
• Add docstring description to ARCH-model
• Make MAP estimates calculation in BOLFIRE optional and based on log-posterior
• Use batch system to run simulations in BOLFIRE
• Use target_model.parameter_names from instead of model.parameter_names in BOLFIRE
• Extract BO results using target_model.parameter_names from instead of model.parameter_names
• Update tox.ini
• Add option to use additive acquisition cost in LCBSC
• Change sigma_proposals-input in metropolis from list to dict
• Fix is_array in utils
• Fix acq_noise_var-bug in acquisition.py. Influenced BOLFI.

Release v.0.8.3

0.8.3 (2021-02-17)

• Add a new inference method: BOLFIRE
• Fix the hessian approximation, visualizations and the line search algorithm in ROMC
• Add tests for all ROMC parts

Release v.0.8.2

0.8.2 (2021-10-13)

• Relax tightly pinned dependency on a version of dask[distributed]
• Change lotka-volterra priors to follow the given reference
• Fix README.md badges
• Fix a few small issues with CONTRIBUTING.rst
• Add Github Actions based CI workflow
• Add the skeleton of TestBench-functionality for comparing methods
• Fix a bug of plot_traces() not working if there is only 1 chain
• Fix histograms in pair_plot diagonals and improve visual outlook
• Improve axes creation and visual outlook
• Fix a bug where precomputed evidence size was not taken into account when reporting BOLFI-results
• Fix a bug where observable nodes were not colored gray when using elfi.draw
• Add plot_predicted_node_pairs in visualization.py.

Release v.0.8.1

0.8.1 (2021-10-12)

• Relax tightly pinned dependency on a version of dask[distributed]
• Change lotka-volterra priors to follow the given reference
• Fix README.md badges
• Fix a few small issues with CONTRIBUTING.rst
• Add Github Actions based CI workflow
• Add the skeleton of TestBench-functionality for comparing methods
• Fix a bug of plot_traces() not working if there is only 1 chain
• Fix histograms in pair_plot diagonals and improve visual outlook
• Improve axes creation and visual outlook
• Fix a bug where precomputed evidence size was not taken into account when reporting BOLFI-results
• Fix a bug where observable nodes were not colored gray when using elfi.draw
• Add plot_predicted_node_pairs in visualization.py.

Release v.0.8.0

• Merge adaptive distance ABC-SMC and ABC-SMC functionalities
• Split DensityRatioEstimation from utils.py into separate file
• Refactor parameter_inferency.py into methodtype-wise individual files
• Rename elfi.methods.mcmc.gelman_rubin as elfi.methods.mcmc.gelman_rubin_statistic
• Refactor class ModelPrior from methods.utils to model.extensions.
• Add adaptive threshold selection method for ABC-SMC
• Modify ProgressBar-functionality
• Add constrains to ExpIntVar-acquisition so that no queries will be outside prior support
• Add ABC-SMC with adaptive distance
• Add Robust optimisation Monte Carlo method
• Fix small issues in ABC-SMC which did not work in 1-dimensional problems or with output names
• Update README.md

Release v.0.7.7

• Update info to reflect setting python 3.6 as the default version
• Update documentation to setting python 3.6 as default
• Add dask support to elfi client options
• Add python 3.7 to travis tests and remove python 3.5 due to clash with dask
• Modify progress bar to better indicate ABC-SMC inference status
• Change networkx support from 1.X to 2.X
• Improve docstrings in elfi.methods.bo.acquisition
• Fix readthedocs-build by adding .readthedocs.yml and restricting the build to
  python3.5, for now

Release v.0.7.6

• Fix incompatibility with scipy>=1.5 in bo.utils.stochastic_optimization
• Minor improvements to documentation