1.20 (2024-07-23)
Caching for file shares
We've introduced caching for file shares (including S3, Azure, and local storage):
- Faster file retrieval and display in Browse
- Entirely browser-based cache, eliminating server requests
- Configurable caching for individual files and file shares
- Automatic cache invalidation when files are modified within the platform
Machine Learning
We continue to improve ML capabilities within the platform:
Improved in-platform model training:
- Automatic input substitution for models
- Interactive hyperparameter tuning
- New interactive visualization widgets for model performance evaluation
MLflow integration (learn more):
- Import and apply MLflow predictive models directly to Datagrok datasets
- Streamlined model management:
- Automatic MLflow model fetching
- Input annotation via MLflow tags
- MLflow models inference support