Support Vector Classifier

This module belongs to the " Machine Learning algorithms" category.

Description

The Support Vector Classifier module is a parameterizable and trainable SVC model. SVCs take input data and shape them using different kind of algorithmic functions called kernels.

The Gamma kernel is can be defined or set automatically.

Parameters

There are different types of kernels to choose from:

• rbf

• linear

• poly

• sigmoid

• precomputed

The decision function of shape cran be either Ovo or OvR.