Release 0.0.9 🔥

[Nikoletos-K]

🔍 So far a user can:

• Utilize 4 main types of workflows: Blocking, Similarity Joins, Vector based using pre-trained embeddings & Progressive ones.
• Try pyTorch embeddings in ER tasks.
• Test FAISS in combination with pyTorch.
• Use Optuna to fine-tune the workflows.
• Use the majority of JedAI workflows in pure python.
• Execute all the methods provided in a Colab notebook.

🎯 Next steps:

• JedAI-spatial components integration.
• Runtime optimization in blocking workflows.
• Auto-configured options (Auto-pyJedAI).
• Add Schema matching workflow.
• Add DL based with supervised training workflow.

💡Any ideas?

If you want to enhance pyJedAI please comment out your ideas in the relevant discussion topic.

#entity-resolution