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CHANGELOG.md

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Changelog

0.1beta3

  • ModBetaGeoModel Bayesian implementation of Modified BG/NBD model added.
  • Added conditional_probability_of_being_alive_up_to_time to ParetoNBDFitter.
  • Removed CSV model persistence and added a validation check for loading models from JSON files.
  • Removed dill dependency for persisting fitters models.
  • Converted _check_inputs into a static method and added a validation check for 'frequency < T'.
  • Converted _dataframe_parser from a static method and removed unnecessary _check_inputs call.
  • Removed direct imports for BaseModel and PredictMixin.

0.1beta2

  • GammaGammaModel Bayesian implementation of Gamma-Gamma model added.
  • Input validation added to BaseModel class.
  • Fixed array broadcasting bug in BetaGeoModel.
  • Revised frequency and monetary value descriptions in User Guide.
  • Revised SQL code for monetary value calculations in documentation.
  • Added required dependencies to setup.cfg.

0.1beta1

  • Bayesian predictions now supported, enabling entire probability distributions as well as point estimates for predictive outputs.
  • Streamlined user API to minimize input arguments. All predictive methods are now also called from a single function.
  • model._idata attribute now persisted as an arviz.InferenceData object, and can be saved externally in JSON or CSV format. However, only JSONs can be loaded as of this release.
  • Documentation updated to latest versions of sphinx and pydata-sphinx-theme.
  • Removed High Level Overview from documentation.
  • Added deprecation warning for legacy Lifetimes fitters module.
  • Removed extraneous lifetimes import causing build issues.
  • Removed psutils library dependency.
  • Added numpy >=1.20.0 library dependency.
  • utils.posterior_predictive_deviation metric removed pending further evaluation.
  • CI/CD pre-commit scripts added.

0.1alpha1

  • Forked lifetimes library v0.11.3 and rebranded as btyd.
  • BetaGeoCovarsFitter BG/NBD model with time-invariant covariates added to fitters module.
  • Alpha version of new modeling backend created in models module to support Bayesian modeling via pymc.
  • BetaGeoModel Bayesian implementation of BG/NBD model added.
  • Switched to Apache 2.0 license.
  • New experimental posterior_predictive_deviation metric added.