1,723,343 research outputs found
elfi-dev/elfi: Release v.0.8.6
No full text<p>0.8.6 (2023-03-07)</p>
<ul>
<li>Fix broken 0.8.5 by adding missing <code>__init__.py</code> to elfi/methods/bsl/</li>
</ul>
elfi-dev/elfi: Release 0.7
No full text<ul>
<li>Added the MaxVar acquisition method</li>
<li>Added the RandMaxVar acquisition method</li>
<li>Added the ExpIntVar acquisition method</li>
<li>Implemented the Two Stage Procedure, a method of summary-statistics diagnostics</li>
<li>Added new example: the stochastic Lotka-Volterra model</li>
<li>Fix methods.bo.utils.minimize to be strictly within bounds</li>
<li>Fix elfi.Distance to support scipy 1.0.0</li>
</ul>
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elfi-dev/elfi: Release v.0.8.2
No full text0.8.2 (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
elfi-dev/elfi: Release 0.7.1
No full text<ul>
<li>Implemented model selection (elfi.compare_models). See API documentation.</li>
<li>Fix threshold=0 in rejection sampling</li>
<li>Set default batch_size to 1 in ParameterInference base class</li>
</ul>
elfi-dev/elfi: V 0.7.5
No full textImproved the appearance of figures produced by plot_gp and added the option to draw true parameter indicators on the subplots using the optional input true_params
Modified DCC model by taking into account that subject can't infect herself
Added ability to set minimizer constrains for BOLFI
Enable bolfi.fit using only pre-generated initial evidence points
Fixed a bug causing random seed number to be deterministic
Updated requirements-dev.txt with pytest>=4.4
Minor changes to documentation and refactoring
Added make test-notslow alternativ
elfi-dev/elfi: Release v.0.8.3
No full text0.8.3 (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 part
elfi-dev/elfi: Release v.0.8.4
No full text0.8.4 (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
elfi-dev/elfi: Release v.0.8.0
No full textMerge 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.m
elfi-dev/elfi: Release v.0.8.5
No full text<p>0.8.5 (2023-03-07)</p>
<ul>
<li>Fix the option to continue inference in model-based inference</li>
<li>Move classifiers</li>
<li>Fix readthedocs configuration</li>
<li>Update penalty to shrinkage parameter conversion in synthetic likelihood calculation</li>
<li>Update BSL pre sample methods</li>
<li>Update BslSample</li>
<li>Move ROMC tests</li>
<li>Update to numpy 1.24</li>
<li>Update readthedocs configuration</li>
<li>Restrict numpy < 1.24 until codebase has been updated</li>
<li>Update documentation-related files: docs, conf.py and requirements-dev.txt</li>
<li>Update PULL_REQUEST_TEMPLATE.md</li>
<li>Drop tests for py36 and add tests for py39 and py310</li>
<li>Fix couple of minor bugs in <code>ar1</code>-model</li>
<li>Update parent class in BOLFIRE</li>
<li>Fix semiparametric synthetic likelihood with glasso/warton and add tests</li>
<li>Fix plot marginals and remove plot summaries</li>
<li>Fix stochastic volatility example</li>
<li>Improve batch simulations in toad example</li>
<li>Remove synthetic likelihood node and update BSL data collection</li>
<li>Fix M/G/1 example</li>
<li>Fix scratch assay example</li>
<li>Add scratch assay example</li>
<li>Add GP classifier for ratio estimation</li>
<li>Fix multidimensional indexing in daycare example</li>
<li>Add BSL method</li>
</ul>
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