pgmpy

pgmpy/pgmpy

Python library for Causal AI

89 good first / help-wanted issues · Python · last activity Mar 17, 2026

3.2K stars 1.1K forks 3.2K watchers Python MIT License
bayesian-networks causal-discovery causal-effect causal-identification causal-inference causal-models causal-prediction causal-validation graphical-models hacktoberfest mixed-data probabilistic-inference python simulation synthetic-data
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89 Open Issues Need Help Last updated: Mar 17, 2026

Open Issues Need Help

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[ENH] Add `return_type` argument to `ChowLiu` and `TAN` 3 days ago
Good First Issue Causal Discovery
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[Refactor] Change to use `pytest` from `unittest` 3 days ago
Tests Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add causal estimation + causal discovery datasets 5 days ago
Good First Issue Datasets
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Improve iteroperability with dagitty syntax 13 days ago
Good First Issue Base Models
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
Add tests for TabularCPD.__str__ 15 days ago
Tests Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Update `preprocess_data` method 16 days ago
Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
Separate direct effect and total effect Instrumental variable 17 days ago
Enhancement Good First Issue Model
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
`DAG.get_independencies()` improvements 17 days ago
Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add ACIC 2016 Dataset 23 days ago
Good First Issue Datasets
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add simulated datasets 24 days ago
Good First Issue Datasets
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
Add functions to compute Structural Hamming Distance and Structural Intervention Distance 26 days ago
Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
Remove `state_names` arguemnt from ApproxInference.query 26 days ago
Good First Issue Probabilistic Inference
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[BUG] The behavior of `DiscreteBayesianNetwork.do` is incorrect 26 days ago
Good First Issue Model
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add a `get_random_cpds` method to `LinearGaussianBayesianNetwork` 26 days ago
Good First Issue Model
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
Fail to using ExpectationMaximization with missing data 26 days ago
Enhancement Good First Issue Causal Discovery
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Fix doctests across the package 26 days ago
Tests Good First Issue Documentation
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add method to test whether causal discovery method is complaint 26 days ago
Tests Good First Issue Causal Discovery
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[BUG] Some structure scores fail for integer nodes 26 days ago
Good First Issue Causal Discovery
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
Add type hinting in the codebase 26 days ago
Enhancement Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Improve search space handling in PC 26 days ago
Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Port identification methods from `inference.CausalInference` to `identification` 26 days ago
Good First Issue Causal Identification
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Port Instrumental Variables from `CausalInference` to `identification` 26 days ago
Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Port Conditional Instrumental Variables from `CausalInference` to `identification` 26 days ago
Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add methods to read and write PDAGs from dagitty syntax 26 days ago
Good First Issue Model
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add generator for enumerating all DAGs represented by a PDAG/CPDAG 26 days ago
Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add casual chambers datasets 26 days ago
Good First Issue Datasets
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[Refactor] Change to use `pytest` from `unittest` 26 days ago
Tests Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Example model loader from dagbase 26 days ago
Good First Issue Example Models
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
Reduce dependencies for the package 26 days ago
Enhancement Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Refactor the `MMHC` algorithm about 1 month ago
Good First Issue Causal Discovery
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[BUG] Incorrect contingency table computation in `power_divergence` test about 1 month ago
Bug Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Refactor the `ExhaustiveSearch` algorithm about 1 month ago
Good First Issue Causal Discovery
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Advanced filtering options for `list_models` and `list_datasets` methods about 2 months ago
Good First Issue Datasets Example Models
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[BUG] `hungary_chickenpox` dataset failing to load about 2 months ago
Good First Issue Datasets
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add option to specify `root_nodes` in `ExpertKnowledge` 3 months ago
Good First Issue Causal Discovery
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[DOC] Fix failing example notebooks 3 months ago
Tests Good First Issue Documentation
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Make `lru_cache` max size configurable by the user 4 months ago
Good First Issue Causal Discovery
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Refactor `TreeSearch` algorithm 5 months ago
Good First Issue Causal Discovery Stale
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Cache conditional independence (CI) test results 5 months ago
Good First Issue Stale
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[DOC] Fixing the doctest errors in pgmpy/sampling/Sampling.py 6 months ago
Tests Good First Issue Documentation
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add a variant `double` to SHD metric 6 months ago
Good First Issue Metrics
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[BUG] Incorrect tags for `tubingen/81`dataset 7 months ago
Bug Good First Issue Datasets
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[BUG] Fix apply_meeks_rule example in PDAG class 7 months ago
Bug Good First Issue Documentation
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[BUG] Fix copy method in base graph classes 7 months ago
Bug Good First Issue Model
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[DOC] Fixing the doctest errors in pgmpy/prediction/DoubleMLRegressor.py 7 months ago
Tests Good First Issue Documentation
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[DOC] Fixing the doctest errors in pgmpy/factors/hybrid/FunctionalCPD.py 7 months ago
Tests Good First Issue Documentation
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add an extension template for Conditional Independence tests 7 months ago
Good First Issue Maintenance
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[DOC] Fixing the doctest errors in pgmpy/utils/state_name.py 7 months ago
Tests Good First Issue Documentation
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[DOC] Fixing the doctest errors in pgmpy/factors/discrete/DiscreteFactor.py 7 months ago
Tests Good First Issue Documentation
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[DOC] Fixing the doctest error in pgmpy/factors/discrete/JointProbabilityDistribution.py 7 months ago
Tests Good First Issue Documentation
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add a `__repr__` and `__str__` methods for `ExpertKnowledge` class 7 months ago
Good First Issue Causal Discovery
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add `estimator` argument to GCM conditional independence test 7 months ago
Good First Issue Causal Discovery
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add `estimator` argument to pillai trace conditional independence test 7 months ago
Good First Issue Causal Discovery
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add a `predict_probability` method to `LinearGaussianBayesianNetwork` 7 months ago
Good First Issue Model
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add `get_stats` method to `DAG` class 7 months ago
Good First Issue Model
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Throw error for incorrect argument in `list_models` and `list_datasets` methods 7 months ago
Good First Issue Datasets Example Models
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Refactor ExpertInLoop Algorithm 7 months ago
Good First Issue Causal Discovery
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[BUG] Causal Games notebook throws errors 7 months ago
Bug Good First Issue Documentation
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Improve error message for `load_model` method 7 months ago
Good First Issue Example Models
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[BUG] Failing doctests in `DAG.py` 7 months ago
Tests Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[BUG] Fix docstring examples in `AncestralBase.py` 8 months ago
Bug Good First Issue Documentation
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[BUG] Fix docstring example in `structure_score.py` 8 months ago

AI Summary: The issue reports a `ValueError` in the `pgmpy` library when using `StructureScore` with the `bic-g` scoring method on a discrete dataset (the 'alarm' model). The error message correctly indicates that `bic-g` is an incorrect method for discrete data. The proposed fix is to update the docstring example in `structure_score.py` to use `bic-d` instead of `bic-g` for discrete datasets.

Complexity: 1/5
Good First Issue Metrics Documentation
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[BUG] Fix docstring example in `frontdoor.py` 8 months ago
Bug Good First Issue Documentation
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[BUG] Change from `exposure` <-> `exposures` in Adjustment.py 8 months ago
Bug Good First Issue Documentation
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[BUG] The dataset template file doesn't ask for `base_url` 8 months ago
Bug Good First Issue Datasets Maintenance
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
Doctests for pgmpy 8 months ago
Enhancement Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Define a JSON schema for our file format for storing `LinearGaussianBayesianNetwork` 8 months ago
Good First Issue Example Models
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add example models from bnRep repository 8 months ago
Good First Issue Example Models
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] `load` and `save` methods for `LinearGaussianBayesianNetwork` 8 months ago
Enhancement Good First Issue Model
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Refactor example models 8 months ago
Good First Issue Example Models
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Create R script to convert bnRep models to BIF/JSON format 8 months ago
Good First Issue Example Models
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Refactor GES algorithm 8 months ago
Good First Issue Causal Discovery
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add datasets 9 months ago
Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Support node-specific priors in EM (Dirichlet/ BDeu) 11 months ago
Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[BUG] Failing Doctests in NaiveAdjustment Reg 11 months ago
Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
Causal Structure for sklearn checks in DML 12 months ago
Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[Refactor] Refactoring the way `outcomes` and `exposures` are handled among node roles 12 months ago
Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[DOC] The example notebook on data simulation is missing "missing data" 12 months ago
Good First Issue category: Documentation
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Rename `DAG._get_ancestors_of` to `DAG.ancestors` 12 months ago
Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Improve interoperability of the output of `DynamicBayesianNetwork.simulate` method about 1 year ago
Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add a method to import example datasets about 1 year ago
Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add `_GraphRolesMixin` to other causal graph classes about 1 year ago
Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Change default scoring method to `BIC-*` about 1 year ago
Good First Issue category: Learning
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add variable roles to `ADMG` class about 1 year ago
Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Port Frontdoor adjustment from `CausalInference` to `identification` about 1 year ago
Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add variable roles to `PDAG` class about 1 year ago
Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add methods to convert DAGs to dagitty and lavaan representation about 1 year ago
Good First Issue category: Base Model
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[ENH] Add a log_likelihood method for LinearGaussianBayesianNetwork over 1 year ago

AI Summary: Implement a `log_likelihood` method for the `LinearGaussianBayesianNetwork` class in the pgmpy Python library, mirroring the functionality already added (or planned) for other Bayesian network types. This involves calculating the log-likelihood of a dataset given a fitted Linear Gaussian Bayesian Network model.

Complexity: 4/5
Good First Issue category: Inference
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data
[BUG] Read-write methods fail when state names have commas in them over 1 year ago

AI Summary: The task is to fix a bug in the pgmpy library where models with commas in state names cannot be saved and loaded correctly. The solution involves improving the handling of commas in state names during file I/O, potentially by adding warnings or using a more robust delimiter.

Complexity: 4/5
Good First Issue
pgmpy/pgmpy
3.2K

Python library for Causal AI

Python
#bayesian-networks#causal-discovery#causal-effect#causal-identification#causal-inference#causal-models#causal-prediction#causal-validation#graphical-models#hacktoberfest#mixed-data#probabilistic-inference#python#simulation#synthetic-data