View pomegranate on Snyk Open Source Advisor

Package Health Score

67 / 100

security
Security review needed
popularity
Recognized
maintenance
Sustainable
community
Sustainable

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Popularity

Recognized

GitHub Stars: 71
Forks: 3
Contributors: 2

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package pomegranate, we found that it has been starred 71 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Oct 18, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
1
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Sustainable

Commit Frequency

No Recent Commits

Open Issues: 0
Open PR: 0
Last Release: 2 months ago
Last Commit: 2 years ago

Further analysis of the maintenance status of pomegranate based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

We found that pomegranate demonstrates a positive version release cadence with at least one new version released in the past 3 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Sustainable

Readme: No
Contributing.md: No
Code of Conduct: Yes
Contributors: 2
Funding: No

This project has seen only 10 or less contributors.

How about a good first contribution to this project? It seems that pomegranate is missing a README file.

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Package

Python Versions Compatibility: Unspecified

Age: 10 years
Latest Release: 2 months ago
Dependencies: 0 Direct
Versions: 64
Maintainers: 0
Wheels: OS Independent

Not sure how to use pomegranate?

To help you get started, we've collected the most common ways that pomegranate is being used within popular public projects.

glivan / tensor_networks_for_probabilistic_modeling / hmm / runHMM.py View on Github

X=a[0]
    X=X.astype(int)
    
    # Create HMM
    D=bond_dimension
    N=X.shape[1]
    d=np.max(X+1)
    list_of_states=[]
    for i in xrange(N):
        list_of_states.append([])
        for u in xrange(bond_dimension):
            dictionnary=dict()
            for l in xrange(d):
                dictionnary[str(l)] = np.random.rand()
            list_of_states[i].append(pomegranate.State(pomegranate.DiscreteDistribution(dictionnary)))
    model = pomegranate.HiddenMarkovModel()
    for i in xrange(N-1):
        for d in xrange(D):
            for d2 in xrange(D):
                model.add_transition(list_of_states[i][d],list_of_states[i+1][d2],np.random.rand())
    for d in xrange(D):
        model.add_transition(model.start,list_of_states[0][d],np.random.rand())
    for d in xrange(D):
        model.add_transition(list_of_states[N-1][d],model.end,np.random.rand())
    model.bake()

    # Train HMM
    begin = time.time()  
    sequencetrain=[[str(i) for i in v] for v in X]
    np.random.seed()
    model.fit(sequencetrain,algorithm='baum-welch',stop_threshold=1e-50,min_iterations=1000,\
              max_iterations=n_iter)

View more ways to use pomegranate

FAQs

What is pomegranate?

A PyTorch implementation of probabilistic models. Visit Snyk Advisor to see a full health score report for pomegranate, including popularity, security, maintenance & community analysis.

Is pomegranate popular?

The python package pomegranate receives a total of 18,831 weekly downloads. As such, pomegranate popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is pomegranate well maintained?

We found indications that pomegranate maintenance is sustainable demonstrating some project activity. We saw a total of 2 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is pomegranate safe to use?

While scanning the latest version of pomegranate, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 21 December-2024, at 20:05 (UTC).

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pomegranate

A PyTorch implementation of probabilistic models. For more information about how to use this package see README

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Is pomegranate safe to use?

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Not sure how to use pomegranate?

FAQs

What is pomegranate?

Is pomegranate popular?

Is pomegranate well maintained?

Is pomegranate safe to use?

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Source Code

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