From 451f992ec46f9e49b1c61240457b666d35d5745f Mon Sep 17 00:00:00 2001 From: "Vicente P. Soloviev" Date: Fri, 29 Sep 2023 17:29:46 +0200 Subject: [PATCH] bug BN learning --- EDAspy.egg-info/PKG-INFO | 18 ++++---- EDAspy.egg-info/SOURCES.txt | 43 +++++++++++------- .../discrete_bayesian_network.py | 7 ++- .../_build/doctrees/EDAspy.benchmarks.doctree | Bin 102233 -> 101705 bytes docs/_build/doctrees/EDAspy.doctree | Bin 3583 -> 3559 bytes .../EDAspy.optimization.custom.doctree | Bin 23907 -> 23811 bytes ...ation.custom.initialization_models.doctree | Bin 82532 -> 82172 bytes ...zation.custom.probabilistic_models.doctree | Bin 198588 -> 197684 bytes .../doctrees/EDAspy.optimization.doctree | Bin 73339 -> 73107 bytes .../EDAspy.optimization.multivariate.doctree | Bin 163429 -> 162885 bytes .../EDAspy.optimization.univariate.doctree | Bin 139552 -> 139048 bytes .../doctrees/categorical_optimization.doctree | Bin 9186 -> 9178 bytes docs/_build/doctrees/changelog.doctree | Bin 19800 -> 19792 bytes docs/_build/doctrees/eda_custom.doctree | Bin 6776 -> 6768 bytes docs/_build/doctrees/egna_opt.doctree | Bin 5709 -> 5701 bytes docs/_build/doctrees/emna_opt.doctree | Bin 5178 -> 5170 bytes docs/_build/doctrees/environment.pickle | Bin 242349 -> 242210 bytes docs/_build/doctrees/examples.doctree | Bin 3369 -> 3361 bytes .../doctrees/feature_selection_umdad.doctree | Bin 12529 -> 12521 bytes .../doctrees/hyperparameter_umdac.doctree | Bin 6117 -> 6109 bytes docs/_build/doctrees/index.doctree | Bin 5013 -> 5005 bytes docs/_build/doctrees/installation.doctree | Bin 6122 -> 6114 bytes docs/_build/doctrees/introduction.doctree | Bin 25470 -> 25462 bytes docs/_build/doctrees/modules.doctree | Bin 2698 -> 2690 bytes .../doctrees/multivariate_keda_opt.doctree | Bin 5900 -> 5892 bytes docs/_build/doctrees/speda_opt.doctree | Bin 5792 -> 5784 bytes docs/_build/html/.buildinfo | 2 +- docs/_build/html/EDAspy.benchmarks.html | 2 +- docs/_build/html/EDAspy.html | 2 +- .../html/EDAspy.optimization.custom.html | 2 +- ...mization.custom.initialization_models.html | 2 +- ...imization.custom.probabilistic_models.html | 2 +- docs/_build/html/EDAspy.optimization.html | 2 +- .../EDAspy.optimization.multivariate.html | 2 +- .../html/EDAspy.optimization.univariate.html | 2 +- .../_modules/EDAspy/benchmarks/binary.html | 2 +- .../EDAspy/benchmarks/continuous.html | 2 +- .../optimization/custom/eda_custom.html | 2 +- .../categorical_geninit.html | 2 +- .../latin_hypercube_sampling_geninit.html | 2 +- .../multi_gauss_geninit.html | 2 +- .../uni_bin_geninit.html | 2 +- .../uni_gauss_geninit.html | 2 +- .../uniform_geninit.html | 2 +- .../discrete_bayesian_network.html | 9 ++-- .../gaussian_bayesian_network.html | 2 +- .../kde_bayesian_network.html | 2 +- .../multivariate_gaussian.html | 2 +- .../semiparametric_bayesian_network.html | 2 +- .../univariate_binary.html | 2 +- .../univariate_categorical.html | 2 +- .../univariate_gaussian.html | 2 +- .../probabilistic_models/univariate_kde.html | 2 +- .../_modules/EDAspy/optimization/eda.html | 2 +- .../EDAspy/optimization/eda_result.html | 2 +- .../optimization/multivariate/ebna.html | 2 +- .../optimization/multivariate/egna.html | 2 +- .../optimization/multivariate/emna.html | 2 +- .../optimization/multivariate/keda.html | 2 +- .../optimization/multivariate/speda.html | 2 +- .../_modules/EDAspy/optimization/tools.html | 2 +- .../EDAspy/optimization/univariate/keda.html | 2 +- .../optimization/univariate/umda_binary.html | 2 +- .../univariate/umda_categorical.html | 2 +- .../univariate/umda_continuous.html | 2 +- docs/_build/html/_modules/index.html | 2 +- .../_build/html/_sources/installation.rst.txt | 2 +- .../_build/html/_sources/introduction.rst.txt | 2 +- .../html/_static/documentation_options.js | 2 +- .../_build/html/categorical_optimization.html | 2 +- docs/_build/html/changelog.html | 2 +- docs/_build/html/eda_custom.html | 2 +- docs/_build/html/egna_opt.html | 2 +- docs/_build/html/emna_opt.html | 2 +- docs/_build/html/examples.html | 2 +- docs/_build/html/feature_selection_umdad.html | 2 +- docs/_build/html/genindex.html | 2 +- docs/_build/html/hyperparameter_umdac.html | 2 +- docs/_build/html/index.html | 2 +- docs/_build/html/installation.html | 4 +- docs/_build/html/introduction.html | 4 +- docs/_build/html/modules.html | 2 +- docs/_build/html/multivariate_keda_opt.html | 2 +- docs/_build/html/py-modindex.html | 2 +- docs/_build/html/search.html | 2 +- docs/_build/html/searchindex.js | 2 +- docs/_build/html/speda_opt.html | 2 +- docs/conf.py | 2 +- docs/installation.rst | 2 +- docs/introduction.rst | 2 +- setup.py | 2 +- 91 files changed, 110 insertions(+), 99 deletions(-) diff --git a/EDAspy.egg-info/PKG-INFO b/EDAspy.egg-info/PKG-INFO index 1c7c9c8..038a72b 100644 --- a/EDAspy.egg-info/PKG-INFO +++ b/EDAspy.egg-info/PKG-INFO @@ -1,17 +1,17 @@ Metadata-Version: 2.1 Name: EDAspy -Version: 1.1.1 +Version: 1.1.2 Summary: EDAspy is a Python package that implements Estimation of Distribution Algorithms. EDAspy allows toeither use already existing implementations or customize the EDAs baseline easily building it bymodules so new research can be easily developed. It also has several benchmarks for comparisons. Home-page: https://github.com/VicentePerezSoloviev/EDAspy Author: Vicente P. Soloviev Author-email: vicente.perez.soloviev@gmail.com License: MIT -Download-URL: https://github.com/VicentePerezSoloviev/EDAspy/archive/1.1.1.tar.gz +Download-URL: https://github.com/VicentePerezSoloviev/EDAspy/archive/1.1.2.tar.gz Description: # [![PyPI](https://img.shields.io/pypi/v/edaspy)](https://pypi.python.org/pypi/EDAspy/) [![PyPI license](https://img.shields.io/pypi/l/EDAspy.svg)](https://pypi.python.org/pypi/EDAspy/) - [![Downloads](https://static.pepy.tech/personalized-badge/edaspy?period=total&units=none&left_color=grey&right_color=blue&left_text=downloads)](https://pepy.tech/project/edaspy) + [![Downloads](https://static.pepy.tech/badge/edaspy)](https://pepy.tech/project/edaspy) [![Documentation Status](https://readthedocs.org/projects/edaspy/badge/?version=latest)](https://edaspy.readthedocs.io/en/latest/?badge=latest) # EDAspy @@ -48,7 +48,10 @@ Description: # =3.0 +Requires-Python: >=3.8 Description-Content-Type: text/markdown diff --git a/EDAspy.egg-info/SOURCES.txt b/EDAspy.egg-info/SOURCES.txt index 2dca6e4..6ddf40b 100644 --- a/EDAspy.egg-info/SOURCES.txt +++ b/EDAspy.egg-info/SOURCES.txt @@ -18,20 +18,25 @@ EDAspy/optimization/custom/__init__.py EDAspy/optimization/custom/eda_custom.py EDAspy/optimization/custom/initialization_models/__init__.py EDAspy/optimization/custom/initialization_models/_generation_init.py +EDAspy/optimization/custom/initialization_models/categorical_geninit.py +EDAspy/optimization/custom/initialization_models/latin_hypercube_sampling_geninit.py EDAspy/optimization/custom/initialization_models/multi_gauss_geninit.py EDAspy/optimization/custom/initialization_models/uni_bin_geninit.py EDAspy/optimization/custom/initialization_models/uni_gauss_geninit.py EDAspy/optimization/custom/initialization_models/uniform_geninit.py EDAspy/optimization/custom/probabilistic_models/__init__.py EDAspy/optimization/custom/probabilistic_models/_probabilistic_model.py +EDAspy/optimization/custom/probabilistic_models/discrete_bayesian_network.py EDAspy/optimization/custom/probabilistic_models/gaussian_bayesian_network.py EDAspy/optimization/custom/probabilistic_models/kde_bayesian_network.py EDAspy/optimization/custom/probabilistic_models/multivariate_gaussian.py EDAspy/optimization/custom/probabilistic_models/semiparametric_bayesian_network.py EDAspy/optimization/custom/probabilistic_models/univariate_binary.py +EDAspy/optimization/custom/probabilistic_models/univariate_categorical.py EDAspy/optimization/custom/probabilistic_models/univariate_gaussian.py EDAspy/optimization/custom/probabilistic_models/univariate_kde.py EDAspy/optimization/multivariate/__init__.py +EDAspy/optimization/multivariate/ebna.py EDAspy/optimization/multivariate/egna.py EDAspy/optimization/multivariate/emna.py EDAspy/optimization/multivariate/keda.py @@ -39,21 +44,27 @@ EDAspy/optimization/multivariate/speda.py EDAspy/optimization/univariate/__init__.py EDAspy/optimization/univariate/keda.py EDAspy/optimization/univariate/umda_binary.py +EDAspy/optimization/univariate/umda_categorical.py EDAspy/optimization/univariate/umda_continuous.py -EDAspy/timeseries/TS_transformations.py -EDAspy/timeseries/TransformationsFeatureSelection.py -EDAspy/timeseries/__init__.py tests/__init__.py -tests/test_egna.py -tests/test_emna.py -tests/test_gbn.py -tests/test_geninit.py -tests/test_kdebn.py -tests/test_keda.py -tests/test_multivariate_keda.py -tests/test_pm.py -tests/test_spbn.py -tests/test_speda.py -tests/test_umdac.py -tests/test_umdad.py -tests/test_univariate_keda.py \ No newline at end of file +tests/edas_multivariate/__init__.py +tests/edas_multivariate/test_ebna.py +tests/edas_multivariate/test_egna.py +tests/edas_multivariate/test_emna.py +tests/edas_multivariate/test_multivariate_keda.py +tests/edas_multivariate/test_speda.py +tests/edas_univariate/__init__.py +tests/edas_univariate/test_umdac.py +tests/edas_univariate/test_umdacat.py +tests/edas_univariate/test_umdad.py +tests/edas_univariate/test_univariate_keda.py +tests/inits/__init__.py +tests/inits/test_geninit.py +tests/pms/__init__.py +tests/pms/test_discrete_bn.py +tests/pms/test_gbn.py +tests/pms/test_kdebn.py +tests/pms/test_spbn.py +tests/pms/test_uni_bin_pm.py +tests/pms/test_uni_cat_pm.py +tests/pms/test_uni_gauss_pm.py \ No newline at end of file diff --git a/EDAspy/optimization/custom/probabilistic_models/discrete_bayesian_network.py b/EDAspy/optimization/custom/probabilistic_models/discrete_bayesian_network.py index b0193eb..89f2de8 100644 --- a/EDAspy/optimization/custom/probabilistic_models/discrete_bayesian_network.py +++ b/EDAspy/optimization/custom/probabilistic_models/discrete_bayesian_network.py @@ -4,7 +4,7 @@ import numpy as np import pandas as pd from pgmpy.models import BayesianNetwork -from pgmpy.estimators import BicScore, ExhaustiveSearch, MaximumLikelihoodEstimator +from pgmpy.estimators import HillClimbSearch, MaximumLikelihoodEstimator from ._probabilistic_model import ProbabilisticModel @@ -47,9 +47,8 @@ def learn(self, dataset: np.array, *args, **kwargs): self.pm.add_nodes_from(self.variables) # learn structure - bic = BicScore(data) - es = ExhaustiveSearch(data, scoring_method=bic) - best_structure = es.estimate() + es = HillClimbSearch(data) + best_structure = es.estimate(scoring_method='bicscore', max_iter=1000, show_progress=False) for edge in best_structure.edges(): self.pm.add_edge(edge[0], edge[1]) diff --git a/docs/_build/doctrees/EDAspy.benchmarks.doctree b/docs/_build/doctrees/EDAspy.benchmarks.doctree index 6bd00aaf5ab58f5d2841d523e7802664d106e1e5..9a4fa21ea8b9fcdff9dacf37a5701dc27cb470de 100644 GIT binary patch delta 1171 zcmZ8hT}TvR6z$6Hy0ePq3gJ)Nt}6{}k&7=Tk|7!8Pd`2+QmO5#xLdR))#O8^Sth6% zEZ5}&(J~)Gvo-6h21Osmf=tLKh18XPXkG15g&vw2ot>HH>7IMfIp6s%Gc*6x@Tte3 zyRQ$#ztMRC^0B4p0PTUo7`QH$=+8{T5`8XK>Vis#mgt{=0tG@oy%-x#fX*FF9lC6K 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a/docs/_build/html/.buildinfo b/docs/_build/html/.buildinfo index fbf4bdb..96faa26 100644 --- a/docs/_build/html/.buildinfo +++ b/docs/_build/html/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. -config: 548cc20651cbb788240a69431335e19f +config: b17ce3ec747fb292f205046b405d7595 tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/docs/_build/html/EDAspy.benchmarks.html b/docs/_build/html/EDAspy.benchmarks.html index 1e2a7b2..9cbd66b 100644 --- a/docs/_build/html/EDAspy.benchmarks.html +++ b/docs/_build/html/EDAspy.benchmarks.html @@ -4,7 +4,7 @@ - EDAspy.benchmarks package — EDAspy 1.1.2 documentation + EDAspy.benchmarks package — EDAspy 1.1.3 documentation