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CHANGELOG.md

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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[0.1.12] - Expected 2020-09-30

Added

  1. PC estimator with original, stable, and parallel variants.
  2. PDAG class to represent partially directed DAGs.
  3. pgmpy.utils.get_example_model function to fetch models from bnlearn repository.
  4. Refactor HillClimbSearch with a new feature to specify fixed edges in the model.
  5. Adds a global SHOW_PROGRESS variable.
  6. Adds Chow-Liu structure learning algorithm.
  7. Add pgmpy.utils.get_example_model to fetch models from bnlearn's repository.
  8. Adds get_value and set_value method to DiscreteFactor to get/set a single value.
  9. Adds get_acestral_graph to DAG.

Changed

  1. Refactors ConstraintBasedEstimators into PC with a lot of general improvements.
  2. Improved (faster, new arguments) indepenedence tests with changes in argument.
  3. Refactors sample_discrete method. Sampling algorithms much faster.
  4. Refactors HillClimbSearch to be faster.
  5. Sampling methods now return dataframe of type categorical.

Fixed

Removed

  1. Data class.

[0.1.11] - 2020-06-30

Added

  • New example notebook: Alarm.ipynb
  • Support for python 3.8
  • Score Caching support for scoring methods.

Changed

  • Code quality check moved to codacy from landscape
  • Additional parameter max_ci_vars for ConstraintBasedEstimator.
  • Additional parameter pseudo_count for K2 score.
  • Sampling methods return state names instead of number when available.
  • XMLBIFReader and BIFReader not accepts argument for specifying state name type.

Fixed

  • Additional checks for TabularCPD values shape.
  • DiscreteFactor.reduce accepts both state names and state numbers for variables.
  • BeliefPropagation.query fixed to return normalized CPDs.
  • Bug in flip operation in HillClimbSearch.
  • BIFWriter to write the state names to file if available.
  • BayesianModel.to_markov_model fixed to work with disconnected graphs.
  • VariableElimination fixed to not ignore identifical factors.
  • Fixes automatic sorting of state names in estimators.

Removed

  • No support for ProbModelXML file format.

[0.1.10] - 2020-01-22

Added

  • Documentation updated to include Structural Equation Models(SEM) and Causal Inference.
  • Adds Mmhc estimator.

Changed

  • BdeuScore is renamed to BDeuScore.
  • Refactoring of NaiveBayes
  • Overhaul of CI and setup infrastructure.
  • query methods check for common variabls in variable and evidence argument.

Fixed

  • Example notebooks for Inference.
  • DAG.moralize gives consistent results for disconnected graphs.
  • Fixes problems with XMLBIF and BIF reader and writer classes to be consistent.
  • Better integration of state names throughout the package.
  • Improves remove_factors and add_factors methods of FactorGraph
  • copy method of TabularCPD and DiscreteFactor now makes a copy of state names.

Removed

  • six not a dependency anymore.