changelog.rst

Changelog

1.1.4 (2024-01-21) (release notes)

Core Changes:	replace stan sampling engine PyStan2 by cmdstanpy (#801) update installation procedures and dependencies (#833), (#835), (#821) update installation process such that it pre-compile all stan files during wheel building (#833), (#835)
Documentation:	update read the doc process and underlying doc with respect to new changes (#836), (#838) prune old examples and duplicates under the example/ folder (#838)

1.1.3 (2022-11-30) (release notes)

Core changes:	add python 3.8 unit tests (#752) optimize interface to be compatible with arviz (#755) requirements update (#763) code clean up (#765) dlt global trend prior adjustment (#786)
Documentation:	tutorial refresh (#795)
Utilities:	uses tqdm in parameters tuning (#762) residuals plot (#758) simpler stan compile interface (#769)

1.1.2 (2022-04-28) (release notes)

Core changes:	Add Conda installation option (#679) Suppress the lengthy Stan logging message (#696) WBIC for pyro SVI sampling and BIC for MAP optimization (#719, #710) Backtest module to include confidence intervals (#724) Allow configuration for compiled Stan model path (#713) Box plot for regression coefficient comparison (#737) Bounded logistic growth for DLT model (#712) Enhance regression output reporting (#739)
Documentation:	Add blacking linting to Github action workflow (#708) Tutorial enhancement
Utilities:	Add a new method make_future_df to prepare data frame for forecasting (#695)

1.1.2alpha (2022-04-06) (release notes)

Core changes:	Add Conda installation option (#679) Suppress the lengthy Stan logging message (#696) WBIC for pyro SVI sampling and BIC for MAP optimization (#719, #710) Backtest module to include confidence intervals (#724) Allow configuration for compiled Stan model path (#713) Box plot for regression coefficient comparison (#737) Bounded logistic growth for DLT model (#712) Enhance regression output reporting (#739)
Documentation:	Add blacking linting to Github action workflow (#708) Tutorial enhancement
Utilities:	Add a new method make_future_df to prepare data frame for forecasting (#695)

1.1.1 (2022-03-03) (release notes)

Core changes:	fix the mplstyle file path bug (#714)

1.1.0 (2022-01-11) (release notes)

Core changes:	Redesign the model class structure with three core components: model template, estimator, and forecaster (#506, #507, #508, #513) Introduce the Kernel-based Time-varying Regression (KTR) model (#515) Implement the negative coefficient for LGT and KTR (#600, #601, #609) Allow to handle missing values in response for LGT and DLT (#645) Implement WBIC value for model candidate selection (#654)
Documentation:	A new series of tutorials for KTR (#558, #559) Migrate the CI from TravisCI to Github Actions (#556) Missing value handle tutorial (#645) WBIC tutorial (#663)
Utilities:	New Plotting Palette (#571, #589) Redesign the diagnostic plotting (#581, #607) Raise a warning when date index is not evenly distributed (#639)

1.0.17 (2021-08-30) (release notes)

Core changes:	Use global mean instead of median in ktrx model before next major release

1.0.16 (2021-08-27) (release notes)

Core changes:	Bug fix and code improvement before next major release (#540, #541, #546)

1.0.15 (2021-08-02) (release notes)

Core changes:	Prediction functionality refactoring (#430) KTRLite model enhancement and interface cleanup (#440) More flexible scheduling config in Backtester (#447) Allow extraction of training related metrics (e.g. ELBO loss) in Pyro SVI (#443) Add a flag to keep the posterior samples or not in aggregated model (#465) Bug fix and code improvement (#428, #438, #459, #470)
Documentation:	Clean up and standardize example notebooks (#462) Tutorial update and enhancement (#431, #474)
Utilities:	Diagnostic plot with Arviz (#433) Refine plotting palette (#434, #473) Create an orbit-featured plotting style (#434)

1.0.13 (2021-04-02) (release notes)

Core changes:	Implement a new model KTRLite (#380) Refactoring of BaseTemplate (#382, #384) Add MAPTemplate, FullBayesianTemplate, and AggregatedPosteriorTemplate (#394) Remove dependency of scikit-learn (#379, #381)
Documentation:	Add changelogs, release process, and contribution guidance (#363, #369, #370, #372) Setup documentation deployment via TravisCI (#291) New tutorial of making your own model (#389) Tutorial enhancement (#383, #388)
Utilities:	New EDA plot utilities (#403, #407, #408) More options for exisiting plot utilities (#396)

1.0.12 (2021-02-19) (release notes)

• Documentation update (#354, #362)
• Providing prediction intervals for point posteriors such as AggregatedPosterior and MAP (#357, #359)
• Abstract classes created to refactor posteriors estimation as templates (#360)
• Automating documentation and tutorials; migrating docs to readthedocs (#291)

1.0.11 (2021-02-18) (release notes)

Core changes:	a simple ETS class is created (#280, #296) DLT is replacing LGT as the model used in the quick start and general demos (#305) DLT and LGT are refactored to inherit from ETS (#280) DLT now supports regression with strictly positive/negative signs (#296) deprecation on regression with LGT (#305) dependency update; remove enum34 and update other dependencies versions (#301) fixed pickle error (#342)
Documentation:	updated tutorials (#309, #329, #332) docstring cleanup with inherited classes (#350)
Utilities:	include the provide hyper-parameters tuning (#288) include dataloader with a few standard datasets (#352, #337, #277, #248) plotting functions now returns the plot object (#327, #325, #287, #279)

1.0.10 (2020-11-15) (Initial Release)

• dpl v2 for travis config (#295)

1.0.9 (2020-11-15)

• debug travis pypi deployment (#293)
• Debug travis package deployment (#294)

1.0.8 (2020-11-15)

• debug travis pypi deployment (#293)

1.0.7 (2020-11-14)

• #279
• reorder fourier series calculation to match the df (#286)
• plot utility enhancement (#287)
• Setup TravisCI deployment for PyPI (#292)

1.0.6 (2020-11-13)

• #251
• #257
• #259
• #263
• #248
• #264
• #265
• #270
• #273
• #277
• #281
• #282