Wandb

:bug: Bug Fix

- Fix regression introduced in 0.12.2 causing network access when `WANDB_MODE=offline`

:bug: Bug Fix

- Fixes the grid search stopping condition in the local controller

:nail_care: Enhancement

- New jupyter magic for displaying runs, sweeps, and projects `%wandb path/to/run -h 1024`
- We no longer display run iframe by default in jupyter, add `%%wandb` to a cell to display a run
- Makes api key prompting retry indefinitely on malformed input
- Invite users to teams via the api `api.team("team_name").invite("username_or_email")`
- Remove users from a team via the api `api.team("team_name").members[0].delete()`
- Create service accounts via the api `api.team("team_name").create_service_account("Description")`
- Manage api keys via the api `api.user("username_or_email").generate_api_key()`
- Add pytorch profiling trace support with `wandb.profiler.torch_trace_handler()`

:bug: Bug Fix

- Fix tensorboard_sync to handle ephemeral Sagemaker tfevents files
- Fix Reports query from the public api (broken pagination and report path)
- Fix `wandb.login()` when relogin is specified (only force login once)

:nail_care: Enhancement

- Clean up footer output of summary and history metrics
- Clean up error message from `wandb sweep --update`
- Add warning for `wandb local` users to update their docker
- Add optional argument log_learning_curve to wandb.sklearn.plot_classifier()
- Restore frozen pip package versions when using `wandb launch`
- Add support for jupyter notebooks in launch
- Add `wandb.login()` timeout option

:bug: Bug Fix

- Fix tensorflow/keras 2.6 not logging validation examples
- Fix metrics logged through tensorboard not supporting time on x-axis
- Fix `WANDB_IGNORE_GLOBS` environment variable handling
- Fix handling when sys.stdout is configured to a custom logger
- Fix sklearn feature importance plots not matching feature names properly
- Fix an issue where colab urls were not being captured
- Save program commandline if run executable was outside cwd

:nail_care: Enhancement

- Add Prodigy integration to upload annotated datasets to W&B Tables
- Add initial Metaflow support
- Add experimental wandb launch support
- Add warnings that public API requests are timing out and allow override
- Improve error handling in local controller sweeps engine

:hourglass: No Longer Supported

- Remove Python 3.5 support

:bug: Bug Fix

- Fix issue that could cause artifact uploads to fail if artifact files are being modified
- Fix issue where `wandb.restore()` wouldn't work with runs from a sweep

:nail_care: Enhancement

- Improve run execution time calculation

:bug: Bug Fix

- Restore vendored graphql-core library because of network regression