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Elemeta: Metafeature Extraction for Unstructured Data#

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 metafeature extraction from unstructured data like text and images.
Key usage of Elemeta includes:
  • Exploratory Data Analysis (EDA) - extract useful metafeature on unstructured data to analyze, investigate, and summarize the main characteristics and employ data visualization methods.

  • Data and model monitoring - utilize structured ML monitoring techniques in addition to the typical latent embedding visualizations.

  • Feature extraction - engineer alternative features to be utilized in simpler models such as decision trees.

To quickly try Elemeta please use our quickstart colab or go to our getting started section