Elemeta is an open-source library in Python for metafeature extraction. With it, you will be able to explore, monitor, and extract features from unstructured data through enriched tabular representations. It provides a straightforward Python API for metadata extraction from unstructured data like text and images.
In this post, we’re going to show you an example of how to use Elemeta together with Superwise’s model observability community edition to supply visibility and monitoring of your NLP model’s input text.
Elemeta: Extract metafeatures from unstructured data
We’re excited to release into beta v1.0 of Elemeta, our open-source library for exploring, monitoring, and extracting features from unstructured data.
Challenges of NLP monitoring
Monitoring ML, in general, is not trivial – NLP monitoring, in particular, produces a few unique challenges that we’ll examine in this post.