SVM_by_SMO

SVM

Simple implementation of a Support Vector Classification using the Sequential Minimal Optimization (SMO) algorithm for training.

Supported python versions:

• Python 2.7
• Python 3.4

Python package dependencies

• Numpy

Documentation

Setup model (following parameters are default)

from SVCSMO import SVCSMO
model = SVCSMO(max_iter=10000, kernel_type='linear', C=1.0, epsilon=0.001)

Train model

model.fit(X, y)

Predict new observations

y_hat = model.predict(X_test)