Reduction to Linear Regression
Support vector machines can be used to fit linear regression. In this chapter, we will explore how to do this with TensorFlow.
Getting ready
The same maximum margin concept can be applied toward fitting linear regression. Instead of maximizing the margin that separates the classes, we can think about maximizing the margin that contains the most (x, y) points. To illustrate this, we will use the same iris data set, and show that we can use this concept to fit a line between sepal length and petal width.
The corresponding loss function will be similar to max 
. Here, is half of the width of the margin, which makes the loss ...
Get TensorFlow Machine Learning Cookbook now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
