Wandb

: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`

: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

: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

: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

:nail_care: Enhancement

- New artifact cli commands!

shell
wandb artifact put path_file_or_ref
wandb artifact get artifact:version
wandb artifact ls project_name


- New artifact api commands!

python
wandb.log_artifact()
wandb.use_artifact()
wandb.Api().artifact_versions()
wandb.Api().run.used_artifacts()
wandb.Api().run.logged_artifacts()
wandb.Api().Artifact().file()


- Improved syncing of large wandb-history.jsonl files for wandb sync
- New Artifact.verify method to ensure the integrity of local artifacts
- Better testing harness for api commands
- Run directory now store local time instead of utc time in the name, thanks aiyolo!
- Improvements to our doc strings across the board.
- wandb.Table now supports a `dataframe` argument for logging dataframes as tables!

:bug: Bug Fix

- Artifacts work in python2
- Artifacts default download locations work in Windows
- GCS references now properly cache / download, thanks yoks!
- Fix encoding of numpy arrays to JSON
- Fix string comparison error message

:nail_care: Enhancement

- Major overhaul of artifact caching
- Configurable cache directory for artifacts
- Configurable download directory for artifacts
- New Artifact.verify method to ensure the integrity of local artifacts
- use_artifact no longer requires `type`
- Deleted artifacts can now be be recommitted
- Lidar scenes now support vectors

:bug: Bug Fix

- Fix issue with artifact downloads returning errors.
- Segmentation masks now handle non-unint8 data
- Fixed path parsing logic in `api.runs()`