bayesloop 1.5.7

Fixes deprecated use of np.float, np.int, etc.

bayesloop 1.5.6

Switch from dill to cloudpickle for saving/loading Study-objects to/from file. This ensures compatibility with JupyterLite as dill cannot easily be imported in a pyodide kernel.

bayesloop 1.5.5

Fix deprecated import from collections to ensure compatibility with Python 3.10.

bayesloop 1.5.4

• Fix saving/loading models
• Fix initialization of backwards pass
• Fix tests

bayesloop 1.5.3

Re-release because of broken wheel file.

bayesloop 1.5.2

Re-release due to pypi version conflicts.

bayesloop 1.5.1

Fixes:

• restore description on pypi

bayesloop 1.5.0

New features:

• New transition model: Bivariate random walk

Fixes:

• various import fixes
• more stability for complex transformations in the Parser module

Development:

• moved tests and coverage to Github Actions

bayesloop 1.4

New features:

• New observation model: Laplace distribution
• Hyper-parameter optimization now supports "forward-only" algorithm

Fixes:

• Model evidence of ChangePoint transition model depended on the chosen grid-size
• RegimeSwitch transition model did not support integer parameter values
• Jeffreys prior for Gaussian observation model was parametrized on variance, not standard deviation
• SymPy observation models now support Beta function

bayesloop 1.3

New features:

• Additional API functions in OnlineStudy
• Probability Parser for arithmetic operations on inferred (hyper-)parameters
• Custom likelihood functions (observation models) based on NumPy functions
• Universal plot method
• Convenience methods load, set, add, eval

Fixes:

• Support for besseli function in SymPy models
• Consistent order of parameters in SymPy/SciPy models
• Consistent order of parameters in joint-distribution plots
• Fix to support SymPy 1.1
• AlphaStableRandomWalk transition model
• NotEqual transition model

Development:

• bayesloop now features automatic testing based on TravisCI.
• Automatic code coverage evaluation by coveralls.io