Analyzed
about 19 hours
ago.
based on code collected
about 24 hours
ago.
Project Summary
Mocapy++ is a Dynamic Bayesian Network toolkit, implemented in C++. It supports discrete, multinomial, Gaussian, Kent, Von Mises and Poisson nodes. Inference and learning is done by Gibbs sampling/Stochastic-EM.
In a Nutshell, Mocapy++...
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took an estimated 3 years of effort (COCOMO model)
starting with its first commit in September, 2004
ending with its most recent commit about 18 years ago
Quick Reference
:pserver:anonymous:@mocapy.cvs.s...
Project Security
Vulnerabilities per Version ( last 10 releases )
There are no reported vulnerabilities
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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