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Meet Elemeta
Metafeature Extraction for Unstructured Data

Lior headshot 1

Lior Durahly

Machine Learning Engineer

@Superwise

May 16th

1:00 PM ET

Webinar

In this talk, we will introduce Elemeta, our open-source metafeature extractor library in Python, which applies a structured approach to unstructured data by extracting information from text and images to create enriched tabular representations. With Elemeta, practitioners can utilize structured ML monitoring techniques in addition to the typical latent embedding visualizations and engineer alternative features to be utilized in simpler models such as decision trees.

About our speaker 👂

Lior Durahly is a data and ML engineer at Superwise, where he is responsible for researching and developing monitoring capabilities related to Responsible AI, including feature importance, fairness, and explainability. He is also the key contributor to the OSS package Elemeta, a meta-feature extractor for NLP and vision.

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