September 2017
Beginner to intermediate
304 pages
7h 2m
English
Content preview from Machine Learning With Go
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Logistic regression
The first classification model that we are going to explore is called logistic regression. As you can tell from the name, this method is based on a regression, which we discussed in more detail in the previous chapter. However, this particular regression uses a function that is particularly well suited to classification problems.
This is also a simple and interpretable model, which makes it a great first choice when solving classification problems. There are a variety of existing Go packages that implement logistic regression for you, including github.com/xlvector/hector, github.com/cdipaolo/goml, and github.com/sjwhitworth/golearn. However, in our example, we will implement logistic regression from scratch, so that you ...
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