v0.6.0

• release session.predictor module
  • allows training gaussian process models on different types of embeddings
  • can also use fitted svds for high fidelity custom sized embeddings to fit GPs
  • predictors can then be used for design
  • deprecated session.train into session.deprecated.train
• release newer session.design interface
  • allows using the newly trained predictor
  • supports syntactic sugar for quickly creating criteria
  • deprecated old session.design interface which requires awkward construction using pydantic into session.deprecated.design
    • might still be needed to support older train models
• migration is planned for all old models and design into the new interface so that they can be listed, fetched and used for prediction.