Package Health Score

77 / 100

security
No known security issues
popularity
Popular
maintenance
Healthy
community
Sustainable

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pomegranate
67

Popularity

Popular

GitHub Stars: 3.09K
Forks: 739
Contributors: 50

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package hmmlearn, we found that it has been starred 3,087 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Oct 31, 2024
Direct Vulnerabilities: 0
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0
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0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
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License Risk: 0
H
0
M
0
L

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

License

BSD-3-Clause

Security Policy

We found a way for you to contribute to the project! Looks like hmmlearn is missing a security policy.

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Maintenance

Healthy

Commit Frequency

Open Issues: 65
Open PR: 5
Last Release: 2 months ago
Last Commit: 2 months ago

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

We found that hmmlearn 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: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 50
Funding: No

With more than 10 contributors for the hmmlearn repository, this is possibly a sign for a growing and inviting community.

We found a way for you to contribute to the project! Looks like hmmlearn is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.8

Age: 10 years
Latest Release: 2 months ago
Dependencies: 0 Direct
Versions: 13
Maintainers: 0
Wheels: Linux, macOS, Windows

Not sure how to use hmmlearn?

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

GenTang / intro_ds / ch09-generative_models / gaussian_hmm / stock_analysis.py View on Github

def getHiddenStatus(data):
    """
    使用Gaussian HMM对数据进行建模，并得到预测值
    """
    cols = ["r_5", "r_20", "a_5", "a_20"]
    model = GaussianHMM(n_components=3, covariance_type="full", n_iter=1000,
        random_state=2010)
    model.fit(data[cols])
    hiddenStatus = model.predict(data[cols])
    return hiddenStatus

View more ways to use hmmlearn

hmmlearn

hmmlearn is a set of algorithms for unsupervised learning and inference of Hidden Markov Models. For supervised learning learning of HMMs and similar models see seqlearn.

Note: This package is under limited-maintenance mode.

Important links

Official source code repo:
HTML documentation (stable release):
HTML documentation (development version):

Dependencies

The required dependencies to use hmmlearn are

Python >= 3.6
NumPy >= 1.10
scikit-learn >= 0.16

You also need Matplotlib >= 1.1.1 to run the examples and pytest >= 2.6.0 to run the tests.

Installation

Requires a C compiler and Python headers.

To install from PyPI:

pip install --upgrade --user hmmlearn

To install from the repo:

pip install --user git+https://github.com/hmmlearn/hmmlearn

FAQs

What is hmmlearn?

Hidden Markov Models in Python with scikit-learn like API. Visit Snyk Advisor to see a full health score report for hmmlearn, including popularity, security, maintenance & community analysis.

Is hmmlearn popular?

The python package hmmlearn receives a total of 61,497 weekly downloads. As such, hmmlearn popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is hmmlearn well maintained?

We found that hmmlearn demonstrated a healthy version release cadence and project activity. It has a community of 50 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is hmmlearn safe to use?

The python package hmmlearn was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 21 December-2024, at 08:28 (UTC).

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hmmlearn

Hidden Markov Models in Python with scikit-learn like API For more information about how to use this package see README

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hmmlearn

Important links

Dependencies

Installation

FAQs

What is hmmlearn?

Is hmmlearn popular?

Is hmmlearn well maintained?

Is hmmlearn safe to use?

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Package Health Score

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Direct Usage Popularity

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Commit Frequency

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Not sure how to use hmmlearn?

hmmlearn

Important links

Dependencies

Installation

FAQs

What is hmmlearn?

Is hmmlearn popular?

Is hmmlearn well maintained?

Is hmmlearn safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

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