FastSK Basic Functions

Welcome to the documentation for FastSK!

What is FastSK?

FastSK is a Python library for fast algorithmic implementation of gkm-svm string kernel for SVM based string classification and regression.

Where should I start?

This is a great question, and one we get a lot. First of all, almost everything in FastSK can be done in two ways: via the command-line or via the Python API. If you’re looking to integrate FastSK into an existing project, the Python API is likely for you. If you’d prefer to use built-in functionality end-to-end, then you can just use the python library API.

For future developers, visit the Installation page for more details about installing FastSK onto your own computer. To start making contributions, read the detailed instructions here.

Features

FastSK has some other features that make it a pleasure to use:

  • :ref:`baseline ` for running baselines

  • :ref:`data `, a utility class for tools preprocessing strings fasta format