Writing your First Testing Suite with pytest for your Machine Learning Model

IDEAS & Data Application Lab co-host this live webinar.

国际数据科学与工程协会 IDEAS

IDEAS is a global nonprofit organization that is dedicated to fostering the data engineering and data science ecosystems and broadening the adoption of their underlying technologies to accelerate the innovations data can bring to society. Our goal is to create a community to connect AI and Data Science enthusiasts. All of the conferences that IDEAS host will demonstrate cutting-edge technology and feature a variety of AI and Data Science experts covering topics including industry trends, real-world applications, open-source software, solutions-based case studies, and many others.

Guest Speakers: Irina Kukuyeva

Topics: Writing your First Testing Suite with pytest for your Machine Learning model

Description:
We’ve all heard that we should be testing our Machine Learning models in production and getting good test coverage. This talk will give an overview of 4 types of tests: unit, integration, regression and parametrized test, via examples in pytest. You’ll write more robust code in no-time, no prior testing experience necessary.

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