October 31 - November 1 - Co-Located Events
October 28-30 - Conference
Lyon Convention Centre - Lyon, France
More information for Open Source Summit + Embedded Linux Conference Europe 2019
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Wednesday, October 30 • 12:20 - 12:55
Explaining the Black Box of Machine Learning Models with Alibi - Janis Klaise, Seldon

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Being able to reason about the predictions of a machine learning system is becoming increasingly important as sophisticated, non-linear predictive models are being adopted across the enterprise and beyond. In this talk we will discuss some requirements and challenges of model explanation algorithms and demo some practical examples using the open-source library Alibi we've developed at Seldon.

- What makes an explanation interpretable?
- The trade-off between interpretability and fidelity of an explanation algorithm
- Practical examples of using some interpretable techniques (e.g. anchors, counterfactual search) for classification of tabular data, text and images using the open-source library Alibi


Janis Klaise

Data Scientist, Seldon
Janis Klaise is a Data Scientist at Seldon primarily working on algorithms to provide rich information beyond raw predictions for live ML systems (e.g. model explanations, outlier detection, model confidence, concept drift). Ongoing projects include the development of the open-source... Read More →

Wednesday October 30, 2019 12:20 - 12:55 CET
Rhone 1