You're reading from Engineering MLOps

Product typeBook

Published inApr 2021

PublisherPackt

ISBN-139781800562882

Edition1st Edition

Tools

Azure Functions

Concepts

Machine Learning

Author (1)

Emmanuel Raj

Testing your ML solution by design

On top of performing regular software development tests, such as unit tests, integration tests, system testing, and acceptance testing, ML solutions need additional tests because data and ML models are involved. Both the data and models change dynamically over time. Here are some concepts for testing by design; applying them to your use cases can ensure robust ML solutions are produced as a result.

Data testing

The goal of testing data is to ensure that the data is of a high enough quality for ML model training. The better the quality of the data, the better the models trained for the given tasks. So how do we assess the quality of data? It can be done by inspecting the following five factors of the data:

Accuracy
Completeness (no missing values)
Consistency (in terms of expected data format and volume)
Relevance (data should meet the intended need and requirements)
Timeliness (the latest or up-to-date data)

Based...

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Engineering MLOps

Published in: Apr 2021Publisher: PacktISBN-13: 9781800562882

Author (1)

Emmanuel Raj

Emmanuel Raj is a Finland-based Senior Machine Learning Engineer with 6+ years of industry experience. He is also a Machine Learning Engineer at TietoEvry and a Member of the European AI Alliance at the European Commission. He is passionate about democratizing AI and bringing research and academia to industry. He holds a Master of Engineering degree in Big Data Analytics from Arcada University of Applied Sciences. He has a keen interest in R&D in technologies such as Edge AI, Blockchain, NLP, MLOps and Robotics. He believes "the best way to learn is to teach", he is passionate about sharing and learning new technologies with others.
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Data testing

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