Reader small image

You're reading from  F# for Machine Learning Essentials

Product typeBook
Published inFeb 2016
Reading LevelExpert
Publisher
ISBN-139781783989348
Edition1st Edition
Languages
Right arrow
Author (1)
Sudipta Mukherjee
Sudipta Mukherjee
author image
Sudipta Mukherjee

Sudipta Mukherjee was born in Kolkata and migrated to Bangalore. He is an electronics engineer by education and a computer engineer/scientist by profession and passion. He graduated in 2004 with a degree in electronics and communication engineering. He has a keen interest in data structure, algorithms, text processing, natural language processing tools development, programming languages, and machine learning at large. His first book on Data Structure using C has been received quite well. Parts of the book can be read on Google Books. The book was also translated into simplified Chinese, available from Amazon.cn. This is Sudipta's second book with Packt Publishing. His first book, .NET 4.0 Generics , was also received very well. During the last few years, he has been hooked to the functional programming style. His book on functional programming, Thinking in LINQ, was released in 2014. He lives in Bangalore with his wife and son. Sudipta can be reached via e-mail at sudipto80@yahoo.com and via Twitter at @samthecoder.
Read more about Sudipta Mukherjee

Right arrow

The basics of matrices and vectors (a short and sweet refresher)


Using Math.Net numerics, you can create matrices and vectors easily. The following section shows how. However, before you can create the vector or the matrix using Math.NET API, you have to reference the library properly. The examples in this chapter run using the F# script.

You have to write the following code at the beginning of the file and then run these in the F# interactive:

Creating a vector

You can create a vector as follows:

The vector values must always be float as per Math.NET. Once you run this in the F# interactive, it will create the following output:

Creating a matrix

A matrix can be created in several ways using the Math.NET package. In the examples in this chapter, you will see the following ways most often:

  • Creating a matrix by hand: A matrix can be created manually using the Math.Net F# package, as follows:

    Once you run this, you will get the following in the F# interactive:

  • Creating a matrix from a list of rows...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
F# for Machine Learning Essentials
Published in: Feb 2016Publisher: ISBN-13: 9781783989348

Author (1)

author image
Sudipta Mukherjee

Sudipta Mukherjee was born in Kolkata and migrated to Bangalore. He is an electronics engineer by education and a computer engineer/scientist by profession and passion. He graduated in 2004 with a degree in electronics and communication engineering. He has a keen interest in data structure, algorithms, text processing, natural language processing tools development, programming languages, and machine learning at large. His first book on Data Structure using C has been received quite well. Parts of the book can be read on Google Books. The book was also translated into simplified Chinese, available from Amazon.cn. This is Sudipta's second book with Packt Publishing. His first book, .NET 4.0 Generics , was also received very well. During the last few years, he has been hooked to the functional programming style. His book on functional programming, Thinking in LINQ, was released in 2014. He lives in Bangalore with his wife and son. Sudipta can be reached via e-mail at sudipto80@yahoo.com and via Twitter at @samthecoder.
Read more about Sudipta Mukherjee