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diff --git a/CHANGELOG.md b/CHANGELOG.md deleted file mode 100644 index 36f02a6e4588..000000000000 --- a/CHANGELOG.md +++ /dev/null @@ -1,196 +0,0 @@ -# Changelog -All notable changes to this project will be documented in this file. - -The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), -and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). - -## [0.1.20] - 2022-09-30 -### Added -1. `BayesianNetwork.get_random_cpds` method to randomly parameterize a network structure. -2. Faster Variable Elimination using tensor contraction. -3. `factors.factor_sum_product` method for faster sum-product operations using tensor contraction. - -### Fixed -1. Bug in `DynamicBayesianNetwork.initialize_initial_state`. #1564 -2. Bug in `factors.factor_product`. #1565 - -### Changed -1. Runtime improvements in `DiscreteFactor.marginalize` and `DiscreteFactor.copy` methods. - -## [0.1.19] - 2022-06-30 -### Added -1. Adds checks for arguments to `BayesianNetwork.simulate` method. - -### Fixed -1. Fixes TAN algorithm to use conditional information metric. -2. Speed ups for all estimation and inference methods. -3. Fix in stable variant of PC algorithm to give reproducible results. -4. Fix in `GibbsSampling` for it to work with variables with integral names. -5. `DAG.active_trail_nodes` allows tuples as variable names. -6. Fixes CPD and edge creation in `UAIReader`. - -## [0.1.18] - 2022-03-30 -### Fixed -1. Fixes `CausalInference.is_valid_backdoor_adjustment_set` to accept str arguments for `Z`. -2. Fixes `BayesianNetwork.remove_cpd` to work with integral node names. -3. Fixes `MPLP.map_query` to return the variable states instead of probability values. -4. Fixes BIFWriter to generate output in standard BIF format. - -## [0.1.17] - 2021-12-30 -### Added -1. Adds BayesianNetwork.states property to store states of all the variables. -2. Adds extra checks in check model for state names - -### Fixed -1. Fixes typos in BayesianModel deprecation warning -2. Bug fix in printing Linear Gaussian CPD -3. Update example notebooks to work on latest dev. - -## [0.1.16] - 2021-09-30 -### Added -1. Adds a `fit_update` method to `BayesianNetwork` for updating model using new data. -2. Adds `simulate` method to `BayesianNetwork` and `DynamicBayesianNetwork` to simulated data under different conditions. -3. Adds `DynamicBayesianNetwork.fit` method to learn model paramters from data. -4. `ApproxInference` class to do approximate inference on models using sampling. -5. Robust tests for all sampling methods. -6. Adds `BayesianNetwork.load` and `BayesianNetwork.save` to quickly read and write files. - -### Changed -1. `BayesianModel` and `MarkovModel` renamed to `BayesianNetwork` and `MarkovNetwork` respectively. -2. The default value of node position in `DAG.to_daft` method. -3. Documentation updated on the website. - -### Fixed -1. Fixes bug in `DAG.is_iequivalent` method. -2. Automatically truncate table when CPD is too large. -3. Auto-adjustment of probability values when they don't exactly sum to 1. -4. tqdm works both in notebooks and terminal. -5. Fixes bug in `CausalInference.query` method. - -## [0.1.15] - 2021-06-30 -### Added -1. Adds network pruning for inference algrithms to reduce the size of network before - running inference. -2. Adds support for latent variables in DAG and BayesianModel. -3. Parallel implementation for parameter estimation algorithms. -4. Adds `DAG.get_random` and `BayesianModel.get_random` methods to be able to generate random models. -5. Adds `CausalInference.query` method for doing do operation inference with or without adjustment sets. -6. Adds functionality to treesearch to do auto root and class node selection (#1418) -7. Adds option to specify virtual evidence in bayesian network inference. -8. Adds Expectation-Maximization (EM) algorithm for parameter estimation in latent variable models. -9. Add `BDeuScore` as another option for structure score when using HillClimbSearch. -10. Adds CausalInference.get_minimal_adjustment_set` for finding adjustment sets. - -### Changed -1. Renames `DAG.is_active_trail` to `is_dconnected`. -2. `DAG.do` can accept multiple variables in the argument. -3. Optimizes sampling methods. -4. CI moved from travis and appveyor to github actions. -5. Drops support for python 3.6. Requires 3.7+. - -### Fixed -1. Example model files were not getting included in the pypi and conda packages. -2. The order of values returned by CI tests was wrong. #1403 -3. Adjusted and normalized MI wasn't working properly in TreeSearch. -4. #1423: Value error in bayesian estimation. -5. Fixes bug in `DiscreteFactor.__eq__` to also consider the state names order. - -## [0.1.14] - 2021-03-31 -### Added -1. Adds support for python 3.9. -2. `BayesianModelProbability` class for calculating pmf for BNs. -3. BayesianModel.predict has a new argument `stochastic` which returns stochastic results instead of MAP. -4. Adds new method pgmpy.base.DAG.to_daft to easily convert models into publishable plots. - -### Changed -1. `pgmpy.utils.get_example_model` now doesn't need internet connection to work. Files moved locally. - -### Fixed -1. Latex output of `pgmpy.DAG.get_independencies`. -2. Bug fix in PC algorithm as it was skipping some combinations. -3. Error in sampling because of seed not correctly set. - -## [0.1.13] - 2020-12-30 -### Added -1. New conditional independence tests for discrete variables - -### Changed -1. Adds warning in BayesianEstimator when using dirichlet prior. - -### Fixed -1. Bug in `PC.skeleton_to_pdag`. -2. Bug in `HillClimbSearch` when no legal operations. - -### Removed - -## [0.1.12] - 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. |