📢June 2023 release
This June release introduces a table view for composites and enrichments, Excel support, and Hydra model architecture for better performance
Last updated
This June release introduces a table view for composites and enrichments, Excel support, and Hydra model architecture for better performance
Last updated
We've listened to your feedback and are pleased to introduce a much-requested feature: the ability to view line items and their enrichments in an easy-to-read table format. In the annotations section, you'll now find a new table view option. What's more, we've added a bonus feature that allows you to customize the order of columns and choose which entities and enrichments you want to display in the table format. To access this experimental feature, kindly reach out to your IT administrator.
📄DocumentsOne of the key advantages of an Adaptive IDP platform is its ability to train a single model using data from various sources or projects, even when those projects have different entity extraction requirements. To enhance the shared model experience, the Metamaze machine learning team has introduced a new model architecture called Hydra! This advanced architecture surpasses its predecessor in handling partially annotated data, which is commonly encountered when sharing models across projects with varying entity extraction requirements
Key takeaways:
Train one model based on different sets of entities, with data from different projects
No need to relabel existing training data when adding/removing entities
Up to 20% higher Straight Through Processing Rate
Up to 9% higher F1 score
Up to 18% less false positives
No actions needed, we take care of everything 🤗
Check out the full blog post here.
To further streamline your workflow, we've added support for Excel documents. With this new update, you can now effortlessly process your tabular data within the Metamaze platform.
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