在Python中快速，灵活且易于使用的概率建模。-Python开发
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2021-05-25
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在Python中快速，灵活且易于使用的概率建模。-Python开发 （170个子文件） 
.gitignore 116B MANIFEST.in 95B Tutorial_0_pomegranate_overview.ipynb 1.63MB C_Feature_Tutorial_3_Semisupervised_Learning.ipynb 934KB Tutorial_8_Semisupervised_Learning.ipynb 928KB Tutorial_5_Bayes_Classifiers.ipynb 738KB B_Model_Tutorial_5_Bayes_Classifiers.ipynb 706KB pomegranate_vs_sklearn_gmm.ipynb 565KB Tutorial_4b_Bayesian_Network_Structure_Learning.ipynb 513KB pomegranate_vs_sklearn_naive_bayes.ipynb 469KB B_Model_Tutorial_2_General_Mixture_Models.ipynb 275KB B_Model_Tutorial_4b_Bayesian_Network_Structure_Learning.ipynb 269KB Tutorial_9_Missing_Values.ipynb 211KB C_Feature_Tutorial_4_Missing_Values.ipynb 198KB pomegranate_vs_hmmlearn.ipynb 194KB B_Model_Tutorial_1_Distributions.ipynb 135KB C_Feature_Tutorial_5_Custom_Distributions.ipynb 132KB pomegranate_vs_libpgm.ipynb 104KB A_Overview.ipynb 102KB Tutorial_4_Bayesian_Networks.ipynb 89KB Tutorial_3_Hidden_Markov_Models.ipynb 83KB Tutorial_7_Parallelization.ipynb 82KB Tutorial_1_Distributions.ipynb 81KB C_Feature_Tutorial_1_Parallelization.ipynb 71KB B_Model_Tutorial_3_Hidden_Markov_Models.ipynb 59KB C_Feature_Tutorial_6_Deep_Models.ipynb 53KB bayesnet_huge_monty_hall.ipynb 45KB B_Model_Tutorial_4_Bayesian_Networks.ipynb 35KB C_Feature_Tutorial_8_Callbacks.ipynb 34KB hmm_tied_states.ipynb 32KB Tutorial_2_General_Mixture_Models.ipynb 32KB naivebayes_hmm_cheating_coin_toss.ipynb 31KB bayes_classifier_hmm_cheating_coin_toss.ipynb 31KB bayesnet_asia.ipynb 31KB bayesnet_monty_hall_classic.ipynb 24KB C_Feature_Tutorial_7_Data_Generators.ipynb 21KB naivebayes_simple_male_female.ipynb 20KB B_Model_Tutorial_7_Markov_Networks.ipynb 19KB bayesnet_monty_hall_train.ipynb 18KB C_Feature_Tutorial_2_Out_Of_Core_Learning.ipynb 13KB hmm_example.ipynb 11KB hmm_infinite.ipynb 11KB B_Model_Tutorial_6_Markov_Chain.ipynb 8KB Tutorial_6_Markov_Chain.ipynb 7KB hmm_rainy_sunny.ipynb 6KB distributions_test_table.ipynb 6KB distributions_conditionalupdate.ipynb 5KB naivebayes_multivariate_male_female.ipynb 5KB LICENSE 1KB Makefile 7KB Makefile 3KB MANIFEST 859B README.md 5KB bug_report.md 660B README.md 481B README.md 481B
pomegranate pydata seattle 2017.pdf 3.25MB pomegranate odsc east 2017 turorial.pdf 2.95MB pomegranate data intelligence 2017.pdf 2.63MB pomegranate ODSC East 2019.pdf 2.56MB pomegranate ODSC West 2019.pdf 2.55MB pomegranate PyData NYC 2017.pdf 2.43MB pomegranate ODSC West 2018.pdf 2.35MB pomegranate ODSC Europe 2020.pdf 2.13MB pomegranate ODSC West 2017.pdf 2.05MB pomegranate scipy 2017.pdf 1.67MB
pomegranate_comparison.png 55KB pomegranate-logo.png 23KB utils.pxd 745B base.pxd 680B MultivariateGaussianDistribution.pxd 676B ConditionalProbabilityTable.pxd 639B bayes.pxd 605B DiscreteDistribution.pxd 486B KernelDensities.pxd 483B JointProbabilityTable.pxd 481B IndependentComponentsDistribution.pxd 474B DirichletDistribution.pxd 373B distributions.pxd 303B NormalDistribution.pxd 279B BernoulliDistribution.pxd 234B LogNormalDistribution.pxd 232B ExponentialDistribution.pxd 229B BetaDistribution.pxd 226B UniformDistribution.pxd 226B GammaDistribution.pxd 217B PoissonDistribution.pxd 217B test_hmm.py 79KB test_bayesian_network.py 58KB test_gmm.py 49KB test_distributions.py 44KB test_naive_bayes.py 29KB test_custom_distributions.py 27KB test_io.py 23KB test_bayes_classifier.py 23KB test_markov_chain.py 20KB test_markov_network.py 18KB test_profile_hmm.py 17KB test_kmeans.py 13KB io.py 12KB共 170 条
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