Skip to main content

Variable Trigonometric Threshold (VTT)

Project description

A machine learning linear classifier as defined in A. Abi-Haidar, J. Kaur, A. Maguitman, P. Radivojac, A. Retchsteiner, K. Verspoor, Z. Wang, and L.M. Rocha [2008]. “Uncovering protein interaction in abstracts and text using a novel linear model and word proximity networks”. Genome Biology. 9(Suppl 2):S11 . To be used in conjunction with the Scikit-Learn python package.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

VTT-0.3.1-py2.py3-none-any.whl (4.6 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file VTT-0.3.1-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for VTT-0.3.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 8bc8d423ac8f5071e2261357a321717054c7c4408be1bd4fe97d9b6414b9f0d3
MD5 03cbaaf7eae30713ee460e9fc5e328ef
BLAKE2b-256 75d10166f7c53437bc6938389a40e255720743ea88fb3060bcbd9ef56c36c125

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page