Whylogs

✨ Features

- sketch model metrics for classification 153 [lalmei]
- create. and apply constraints to datasets 152 [cswarth]
- bounding boxes data tracking 134 [lalmei]
- track full local datasets 134 [lalmei]

🐛 Bug Fixes
- refactor track() -> update() 158 [cswarth]
- add python version reqs 136 [lalmei]
📚 Documentation
- 📚 added code of conduct 142 [lalmei]

⬆️ Dependencies

- Migrate to datasketches 2.2.0b1 151 [andyndang]
- Bump cryptography from 3.2.1 to 3.3.2 150 [dependabot]
- Update outdated requirements 141 [lalmei]

⬇️ Dependencies

- remove a dependency on bleach 144 [lalmei]
- Remove s3fs refs and use smart open instead 140 [lalmei]

🚨 Testing
- 🚀 added release drafter 143 [lalmei]

✨ Features
- Image data support, create sketches of:
- Images metadata
- Image data features
- Custom image feature transformations
- see [image example](https://github.com/whylabs/whylogs-examples/blob/mainline/python/Logging_Images.ipynb)
- Segment support
- Create segmented profiles from your structured data
- Add MLFLOW support
- Start creating data profile during your mlflow steps.
- see upcoming [python examples](https://github.com/whylabs/whylogs-examples/blob/mainline/python/)

- Set log rotation with time.
- Automatically create new profiles every second, minute, hour, or day at any set interval

🚨 Add more coverage tests
- Coverage s3 with mock s3
- Log rotation with freeze gun to mock time traveling.
- Added coverage tracking
- Added maintainability tracking with code climate.

🐛 Numerous Bug Fixes:
- Bug with tracking None datatypes
- Bug with s3 writers duplicating folder structure locally
- Pass a custom config path
- Various fixes

➕ Dependencies
- upgrading various decencies
- adding optional image loading dependencies

* MLFlow integration

Minor patches for visualization toolkit (styling)

First release of WhyLogs Python.