29 Oct 2021 version 2.8.0 New class: BernoulliErrorDistribution and SoftMaxModel, tests, examples and data Adaptations To BernoulliED in some other classes Multi-dim input and output issues Updated some other tests and examples Documentation and other small issues
Minor bugfixes in the main Bayes factor package Several additions to the included linear mixed effe...
New features: Nuisance parameters to model systematic uncertainties, currently only from PDF / scal...
<p>Training set and test set errors are shown for each combination of type of distribution of data a...
18 Feb 2021 version 2.7.0 New class: EvidenceProblem & ModelDistribution; adaptations in NestedSamp...
What's new. 18 Jan 2023 version 3.1.0 (still working on the same update) Implementing accuracy in ...
What's new in versions 2.5.0 New models: BasicSplinesModel and SplinesDynamicModel Option for const...
What's new in versions 2.6.0 New class: PhantomSampler; adaptations in Engines, Explorer, WalkerLis...
What's new in versions 2.4.3 Clean up and unification of the python doc strings. Reran all examples...
New classes: AstropyModel and UserModel New class: NeuralNetUtilities New classes: NestedSolver, Ord...
BayesicFitting is a PYTHON toolbox for (Bayesian) data modelling and evidence calculation. It consis...
6 Nov 2020 versions 2.6.1 Avoid infinities in unbound Priors mcycles in initialization of MonteCarlo...
05 Apr 2022 version 3.0.1: Addressing issue #18: UserModel does not work for multiple dimensions
31 Aug 2023 version 3.2.0 The new class, PhantomCollection is part of NestedSampler. It contains a s...
What's new in versions 2.4.4 Moved BayesicFitting/BayesicFitting/documentation to BayesicFitting/do...
* New Classes: - DecisionTreeModel A DecisionTree Model (DTM) is mostly defined on mult...
Minor bugfixes in the main Bayes factor package Several additions to the included linear mixed effe...
New features: Nuisance parameters to model systematic uncertainties, currently only from PDF / scal...
<p>Training set and test set errors are shown for each combination of type of distribution of data a...
18 Feb 2021 version 2.7.0 New class: EvidenceProblem & ModelDistribution; adaptations in NestedSamp...
What's new. 18 Jan 2023 version 3.1.0 (still working on the same update) Implementing accuracy in ...
What's new in versions 2.5.0 New models: BasicSplinesModel and SplinesDynamicModel Option for const...
What's new in versions 2.6.0 New class: PhantomSampler; adaptations in Engines, Explorer, WalkerLis...
What's new in versions 2.4.3 Clean up and unification of the python doc strings. Reran all examples...
New classes: AstropyModel and UserModel New class: NeuralNetUtilities New classes: NestedSolver, Ord...
BayesicFitting is a PYTHON toolbox for (Bayesian) data modelling and evidence calculation. It consis...
6 Nov 2020 versions 2.6.1 Avoid infinities in unbound Priors mcycles in initialization of MonteCarlo...
05 Apr 2022 version 3.0.1: Addressing issue #18: UserModel does not work for multiple dimensions
31 Aug 2023 version 3.2.0 The new class, PhantomCollection is part of NestedSampler. It contains a s...
What's new in versions 2.4.4 Moved BayesicFitting/BayesicFitting/documentation to BayesicFitting/do...
* New Classes: - DecisionTreeModel A DecisionTree Model (DTM) is mostly defined on mult...
Minor bugfixes in the main Bayes factor package Several additions to the included linear mixed effe...
New features: Nuisance parameters to model systematic uncertainties, currently only from PDF / scal...
<p>Training set and test set errors are shown for each combination of type of distribution of data a...