Implementation for bayesian network with Enumeration, Rejection Sampling and Likelihood Weighting
Project description
Bayesian Networks
Implementation for bayesian network with
- Enumeration
- Rejection Sampling
- Likelihood Weighting
Install
sudo pip3 install --upgrade bayesian-networks
How to use
import bayesian_networks
testcase = {
'netid': "burglary",
'query': ('B', 'j,m'),
'result': {True: 0.28, False: 0.72},
'samples': 10000,
}
enum = bayesian_networks.Enumeration()
results = enum.run(testcase)
bayesian_networks.print_result(results, showcolors=True)
rejection = bayesian_networks.RejectionSampling()
results = rejection.run(testcase)
bayesian_networks.print_result(results, showcolors=True)
weighting = bayesian_networks.LikelihoodWeighting()
results = weighting.run(testcase)
bayesian_networks.print_result(results, showcolors=True)
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