Version 2.5.0

What's new in versions 2.5.0

• New models: BasicSplinesModel and SplinesDynamicModel
• Option for constraints on the likelihood
• Option for slow engines (working every slow-th iteration in NestedSampler)
• Restructure growPrior setting
• Print formatting in NestedSampler
• Adapt to SplinesDynamicModel
• Homogenized and improved plotoptions in test harnesses
• Three more examples added

Version 2.4.4

What's new in versions 2.4.4

• Moved BayesicFitting/BayesicFitting/documentation to BayesicFitting/docs
• Added a references.md file which collects (external) references.
• Updated the docs files.
• Handling of weight in accordance with the definition in the Glossary.
• Add keyword tail= to formatter to display last items of an array.

Version 2.4.3

What's new in versions 2.4.3

• Clean up and unification of the python doc strings.
• Reran all examples and test harnasses in python 3.7.
• Add random seed to several examples to make them more stable.

Version 2.4.2

• New Classes:
  - DecisionTreeModel
  A DecisionTree Model (DTM) is mostly defined on multiple input dimensions (axes).
  It splits the data in 2 parts, according low and high values on a certain input axis.
  The splitting can continue along other axes.
  - Modifiable
  Interface to define modifiable behaviour of some Models.
  - StructureEngine
  Engine to modify Models that implement Modifiable
• Introduce Table from astrolib as (multidimensional) xdata
• Some restructering necessitated by the classes above.
• Testcases and examples for the classes above

Version 2.3.0

Add a few more classes, repair some bugs.

First release of BayesicFitting on Zenodo

First release of BayesicFitting on Zenodo. Earlier versions were available on pypi.org and GitHub.com.