Variable Trigonometric Threshold (VTT)

A machine learning linear classifier to be used in conjunction with the Scikit-Learn python package

Installation:

This package is available on Pypi. Just run the following command on terminal to install.

  $ pip install vtt

You can also source the code directly from the github project page.

Docs:

The full documentation can be found at: rionbr.github.io/VTT

Papers:

• Correia, Rion B., K. N. Chan, & L.M. Rocha [2015]. "Polarization in the US Congress." The 8th Annual Conference of the Comparative Agendas Project (CAP). Lisbon, Portugal, June 23-24, 2015.

• A. Lourenço, M. Conover, A. Wong, A. Nematzadeh, F. Pan, H. Shatkay, and L.M. Rocha [2011]."A Linear Classifier Based on Entity Recognition Tools and a Statistical Approach to Method Extraction in the Protein-Protein Interaction Literature". BMC Bioinformatics. 12(Suppl 8):S12.

• A. Kolchinsky, A. Abi-Haidar, J. Kaur, A.A. Hamed and L.M. Rocha [2010]. "Classification of protein-protein interaction full-text documents using text and citation network features." IEEE/ACM Transactions On Computational Biology And Bioinformatics, 7(3):400-411. DOI: doi.ieeecomputersociety.org/10.1109/TCBB.2010.55

• 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