v1.3.4

Added

• Functionality to fail a Trubric run (cli or notebook) based on the severity of validations
• New integration with MlFlow 🎉 - you can now:
  • Validate an mlflow run with Trubrics with mlflow.evaluate(evaluators="trubrics")
  • Save all validation results to the MLflow UI
  • Write custom python functions to validate your data or models with MLflow

Changed

• Changed data model of Trubric object
• Tutorials for classification and regression models added to docs, ready to run in google colab
• Removed notebook run in the docs CI