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Analyzed over 1 year ago. based on code collected over 1 year ago.

Project Summary

scikit-learn is a Python module integrating various machine learning algorithms under a common interface. It offers a wide range of methods such as Support Vector Machines, linear models (L1, L2 penalized), logistic regression, gaussian mixture models and more. The large number of algorithms aleady implemented allows for easy comparison of accuracy and performance of various algorithms.

Tags

artificial-intelligence gmm kmeans machine_learning python research supervisedlearning supportvectormachine svm textclassification

BSD 3-clause "New" or "Revised" License
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Project Security

Vulnerabilities per Version ( last 10 releases )

Project Vulnerability Report

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

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About Project Security

Languages

Python
93%
8 Other
7%

30 Day Summary

Dec 22 2020 — Jan 21 2021

12 Month Summary

Jan 21 2020 — Jan 21 2021
  • 1388 Commits
    Down -62 (4%) from previous 12 months
  • 403 Contributors
    Down -13 (3%) from previous 12 months