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You're reading from  Julia Cookbook

Product typeBook
Published inSep 2016
Reading LevelBeginner
Publisher
ISBN-139781785882012
Edition1st Edition
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Authors (2):
Jalem Raj Rohit
Jalem Raj Rohit
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Jalem Raj Rohit

Jalem Raj Rohit is an IIT Jodhpur graduate with a keen interest in recommender systems, machine learning, and serverless and distributed systems. Raj currently works as a senior consultantdata scienceand NLP at Episource, before which he worked at Zomato and Kayako. He contributes to open source projects in Python, Go, and Julia. He also speaks at tech conferences about serverless engineering and machine learning.
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Basic statistics concepts


In this recipe, you will learn about the StatsBase package, which helps you use basic statistical concepts such as weight vectors, common statistical estimates, distributions, and others.

Getting ready

To get started with this recipe, you have to first install the StatsBase package by executing Pkg.add("StatsBase") in the REPL.

How to do it...

  1. Weight vectors can be constructed as follows:

    w = WeightVec([4., 5., 6.])
    

  2. Weight vectors also compute the sum of the weights automatically. So, if the sum is already computed, it can be added as a second argument to the vector construction so that it saves time required for computing the sum. Here is how to do it:

    w = WeightVec([4., 5., 6.], 15.)
    

  3. Weights can also be simply defined by the weights() function, as follows:

    w = weights([1., 2., 3.])
    

  4. Some important methods that can be used on weight vectors are:

    1. To check whether the weight vector is empty or not, the isemply() function can be used:

      isempty(w)
      
    2. To check the type...

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Julia Cookbook
Published in: Sep 2016Publisher: ISBN-13: 9781785882012

Authors (2)

author image
Jalem Raj Rohit

Jalem Raj Rohit is an IIT Jodhpur graduate with a keen interest in recommender systems, machine learning, and serverless and distributed systems. Raj currently works as a senior consultantdata scienceand NLP at Episource, before which he worked at Zomato and Kayako. He contributes to open source projects in Python, Go, and Julia. He also speaks at tech conferences about serverless engineering and machine learning.
Read more about Jalem Raj Rohit