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Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Benchmarking framework for all types of black-box optimization algorithms.
coco-experiment is a Python module implementing the experimental part of COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting.
The easiest way to install coco-experiment is using pip
(preferably in a virtual environment):
pip install -U coco-experiment
Similar to scikit-learn, the name of the coco-experiment module is not coco-experiment
but rather cocoex
.
To get started, take a look at the simple example experiment.
FAQs
Benchmarking framework for all types of black-box optimization algorithms.
We found that coco-experiment demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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