Julia Cookbook by Jalem Raj Rohit

Author:Jalem Raj Rohit [Rohit, Jalem Raj]
Language: eng
Format: mobi, pdf
Tags: Julia
Publisher: Packt Publishing
Published: 2016-09-30T04:00:00+00:00

How to do it...

Firstly, let's download the famous iris dataset. This is a dataset that contains the details of iris flowers and the classes they belong to. This dataset can be used as a nice, simple start to classification problems. It can be downloaded from the following link: https://raw.githubusercontent.com/trthatcher/DiscriminantAnalysis.jl/master/example/iris.csv

Now, we would like to import the dataset using the readtable() function of the DataFrames library. This can be done in the REPL, as follows:

df = readtable("iris.csv")

Output Next, we pool the dataframe's Species column, which contains the names of the types of flower. Pooling a vector converts the string values into factors. This can be done using the pool!() function. The ! is used as the function changes the value of its arguments after execution. So, this can be done as follows: pool!(df, [:Species])

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