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You're reading from  Hands-On Machine Learning with C++

Product typeBook
Published inMay 2020
Reading LevelIntermediate
PublisherPackt
ISBN-139781789955330
Edition1st Edition
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Kirill Kolodiazhnyi
Kirill Kolodiazhnyi
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Kirill Kolodiazhnyi

Kirill Kolodiazhnyi is a seasoned software engineer with expertise in custom software development. He has several years of experience building machine learning models and data products using C++. He holds a bachelor degree in Computer Science from the Kharkiv National University of Radio-Electronics. He currently works in Kharkiv, Ukraine where he lives with his wife and daughter.
Read more about Kirill Kolodiazhnyi

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Examples of using different C++ libraries for anomaly detection

In this section, we'll look at some examples of how to implement the algorithms we described previously for anomaly detection.

C++ implementation of the isolation forest algorithm for anomaly detection

Isolation forest algorithms can be easily implemented in pure C++ because its logic is pretty straightforward. Also, there are no implementations of this algorithm in popular C++ libraries. Let's assume that our implementation will only be used with two-dimensional data. We are going to detect anomalies in a range of samples where each sample contains the same number of features.

Because our dataset is large enough, we can define a wrapper for the actual...

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Hands-On Machine Learning with C++
Published in: May 2020Publisher: PacktISBN-13: 9781789955330

Author (1)

author image
Kirill Kolodiazhnyi

Kirill Kolodiazhnyi is a seasoned software engineer with expertise in custom software development. He has several years of experience building machine learning models and data products using C++. He holds a bachelor degree in Computer Science from the Kharkiv National University of Radio-Electronics. He currently works in Kharkiv, Ukraine where he lives with his wife and daughter.
Read more about Kirill Kolodiazhnyi