Release v1.3.0

v1.3.0 (2022-02-16)

• Add significant memory improvements (10x speed improvement)
• Improve repository organization
• Improve ML
• Fix training bug

Release v1.2.0

• Refactor code base entirely, removing old code from dashboard, outdated ML, outdated extractors, and consolidate the code that's being used.
• Add increased API capabilities, allow for ML training, and new FAIS vector library.
• Increase search capabilities.
• Dockerize everything.
• Allow app to use only Elasticsearch.
• Use different data sources and allow for bulk ingestion.

Release v1.1.0

• Improve underlying ASSESS algorithm (run-time, complexity, extraction, interoperability). See issues 56 and 48.
• Upgrade to Python 3. See issue 44.
• Improve Standards Extractor. See issue 10.

Release v1.0.0

This is the first release of ASSESS that includes:

• A running flask server with routes for running the model
• A bootstrapped web GUI
• A basic unsupervised model that suggests standards using a variation of TF-IDF