Wandb

:hourglass: Deprecated

- Python 3.5 will not be supported as of `wandb==0.12.0`

:bug: Bug Fix

- Reduce Memory Footprint of Images In Tables
- Added a dependency on graphql-core>=2.3.0
- Removed urllib3 pin to avoid conflicts, if you see urllib3 related errors run `pip install --upgrade urllib3`
- Improved Public API HTTP error messages
- Set run.dir to the generated directory name in disabled mode

:nail_care: Enhancement

- Adds support for native Jax array logging
- Tables now support Molecule data type
- Improve Stable-Baselines3 API by auto log model's name and always upload models at the end of training
- Implements the sweep local controller using wandb/sweeps

:hourglass: No Longer Supported

- Remove Python 2.7 support

:bug: Bug Fix

- Fix issue where `wandb.watch()` broke model saving in pytorch
- Fix issue where uniform sweep parameters were parsed as int_uniform
- Fix issue where file_stream thread was killed on 4xx errors

:nail_care: Enhancement

- Improve performance of artifact logging by making it non-blocking
- Add wandb integration for Stable-Baselines3
- Improve keras callback validation logging inference logic
- Expose sweep state via the public API
- Improve performance of sweep run fetches via the API

:bug: Bug Fix

- Fix issue where wandb restore 404ed if the run did not have a diff.patch file
- Fix issue where wandb.log raised an Exception after trying to log a pandas dataframe
- Fix issue where runs could be marked finished before files were finished uploading

:nail_care: Enhancement

- Disable reloading of run metadata (such as command) in resumed runs
- Allow logging of pandas dataframes by automatically converting them to W&B tables
- Fix up `log_code()` exclude fn to handle .wandb dir
- Improve handling of PyTorch model topology
- Increase config debounce interval to 30s to reduce load on WB/backend
- Improve reliability of CLI in generating sweeps with names, programs, and settings

:bug: Bug Fix

- Make `log_artifact()` more resilient to network errors
- Removed Duplicate Artifact Dependencies
- Workaround urlib3 issue on windows
- Fix regression where ipython was hanging
- Allow logging of numpy high precision floating point values
- Reduce liklyhood of collisions for file backed media or artifact objects
- Fix wandb.watch() regression when logging pytorch graphs

:nail_care: Enhancement

- Add support for logging joined and partitioned table
- Handle schema validation warnings for sweep configs
- Improve wandb sync to handle errors
- Add ability to label scripts and repositories who use wandb

:bug: Bug Fix

- wandb.login() did not properly persist the host parameter
- Fix issue where step information was not synced properly when syncing tensorboard directories
- Fix some unicode issues with python2.7
- Fixed bug in `plot_calibration_curve` for ComplementNB
- Fall back to not using SendFile on some linux systems
- Fix console issues where lines were truncated
- Fix console issues where console logging could block

:nail_care: Enhancement

- Add support for preemptible sweeps
- Add command line for sweep control
- Add support to load artifact collection properties

:bug: Bug Fix

- Found and fixed the remaining issues causing runs to be marked crashed during outages
- Improved performance for users of `define_metric`, pytorch-lightning, and aggressive config saving
- Fix issue when trying to log a cuda tensor to config or summary
- Remove dependency on torch `backward_hooks` to compute graph
- Fix an issue preventing the ability to resume runs on sagemaker
- Fix issues preventing pdb from working reliably with wandb
- Fix deprecation warning in vendored library (user submission)
- Fix logging behavior where the library was accidently outputting logs to the console
- Fix disabled mode to not create wandb dir and log files
- Renamed types to prep for Tables launch

:nail_care: Enhancement

- Allow renaming groups with public api