Machine Learning With Go

Training our model

Next, we are going to actually train, or fit, our linear regression model. If you remember, this just means that we are finding the slope (m) and intercept (b) for the line that minimizes the sum of the squared errors. To perform this training, we will use a really great package from Sajari: github.com/sajari/regression. Sajari is a web search company that relies heavily on Go and machine learning, and they use github.com/sajari/regression in production.

To train a regression model using github.com/sajari/regression, we need to initialize a regression.Regression value, set a couple of labels, and fill the regression.Regression value with labeled training data points. After this, training our linear regression model is as ...