- Added sync_tensorboard ability to handle S3 and GCS files - Added ability to specify host with login - Improved artifact API to allow modifying attributes
:bug: Bug Fix
- Fix codesaving to respect the server settings - Fix issue running wandb.init() on restricted networks - Fix issue where we were ignoring settings changes - Fix artifact download issues
0.10.0
Not secure
:nail_care: Enhancement
- Added history sparklines at end of run - Artifact improvements and API for linking - Improved offline support and syncing - Basic noop mode support to simplify testing - Improved windows/pycharm support - Run object has more modifiable properties - Public API supports attaching artifacts to historic runs
:bug: Bug Fix
- Many bugs fixed due to simplifying logic
0.9.7
Not secure
:nail_care: Enhancement
- New sacred observer available at wandb.sacred.WandbObserver - Improved artifact reference tracking for HTTP urls
:bug: Bug Fix
- Print meaningful error message when runs are queried with `summary` instead of `summary_metrics`
0.9.6
Not secure
:nail_care: Enhancement
- Sub paths of artifacts now expose an optional root directory argument to download() - Artifact.new_file accepts an optional mode argument - Removed legacy fastai docs as we're now packaged with fastai v2!
:bug: Bug Fix
- Fix yaml parsing error handling logic - Bad spelling in torch docstring, thanks mkkb473
0.9.5
Not secure
:nail_care: Enhancement
- Remove unused y_probas in sklearn plots, thanks dreamflasher - New deletion apis for artifacts
:bug: Bug Fix
- Fix `wandb restore` when not logged in - Fix artifact download paths on Windows - Retry 408 errors on upload - Fix mask numeric types, thanks numpee - Fix artifact reference naming mixup
0.9.4
Not secure
:nail_care: Enhancement
- Default pytorch histogram logging frequency from 100 -> 1000 steps
:bug: Bug Fix
- Fix multiple prompts for login when using the command line - Fix "no method rename_file" error - Fixed edgecase histogram calculation in PyTorch - Fix error in jupyter when saving session history - Correctly return artifact metadata in public api - Fix matplotlib / plotly rendering error