{"library":"pgmpy","type":"library","category":null,"description":"pgmpy is a Python library for working with Probabilistic Graphical Models (PGMs). It provides implementations of various models, inference algorithms, and learning algorithms for Bayesian Networks, Markov Networks, and other causal and probabilistic reasoning tasks. The current version is 1.1.0, with minor releases occurring periodically and major versions like 1.0.0 introducing significant breaking changes.","language":"python","status":"active","version":"1.1.0","tags":["probabilistic graphical models","bayesian networks","markov models","inference","causal reasoning","machine learning","statistics"],"install":[{"cmd":"pip install pgmpy","imports":["from pgmpy.models import BayesianNetwork","from pgmpy.models import MarkovNetwork","from pgmpy.factors.discrete import TabularCPD","from pgmpy.inference.exact import VariableElimination"]}],"homepage":"https://www.pgmpy.org","github":"https://github.com/pgmpy/pgmpy","docs":"https://www.pgmpy.org","changelog":null,"pypi":"https://pypi.org/project/pgmpy/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":18.8,"avg_import_s":6.81,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/pgmpy/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}