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Machine Learning With Go
book

Machine Learning With Go

by Joseph Langstaff Whitenack, Richard Townsend
September 2017
Beginner to intermediate
304 pages
7h 2m
English
Packt Publishing
Content preview from Machine Learning With Go

Reading in CSV data from a file

Let's consider a simple CSV file, which we will return to later, named iris.csv (available here: https://archive.ics.uci.edu/ml/datasets/iris). This CSV file includes four float columns of flower measurements and a string column with the corresponding flower species:

$ head iris.csv 5.1,3.5,1.4,0.2,Iris-setosa4.9,3.0,1.4,0.2,Iris-setosa4.7,3.2,1.3,0.2,Iris-setosa4.6,3.1,1.5,0.2,Iris-setosa5.0,3.6,1.4,0.2,Iris-setosa5.4,3.9,1.7,0.4,Iris-setosa4.6,3.4,1.4,0.3,Iris-setosa5.0,3.4,1.5,0.2,Iris-setosa4.4,2.9,1.4,0.2,Iris-setosa4.9,3.1,1.5,0.1,Iris-setosa

With encoding/csv imported, we first open the CSV file and create a CSV reader value:

// Open the iris dataset file.f, err := os.Open("../data/iris.csv")if err != ...
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Publisher Resources

ISBN: 9781785882104