Releases: DagsHub/client
0.3.2 - Refreshing datasets
Now you can refresh datasets from inside the Voxel UI in the dagshub plugin.
This release also includes changes relating to uploading metadata, hoping to make it more robust
What's Changed
- Daemonize ThreadPoolExecutor in download_files by @kbolashev in #335
- Warn users about plugin not working in Colab by @kbolashev in #336
- Fix bug in upload api with a status and progress conflicting by @kbolashev in #337
- Add ability to refresh a dataset from voxel by @kbolashev in #338
Full Changelog: 0.3.1...0.3.2
0.3.1 Hotfix 3 - Filter datapoints by path
Fixes an issue where you can no longer filter datapoints by their path, getting a FieldNotFoundError
0.3.1_2 - Upload status bug fix
What's Changed
- Fix bug in upload api with a status and progress conflicting by @kbolashev in #337
- Voxel visualize now uses
merge_samples
to prevent double datapoints from showing up
Full Changelog: 0.3.1_1...0.3.1_2
0.3.1_1 - Minor UX issues fixes
What's Changed
- Daemonize ThreadPoolExecutor in download_files by @kbolashev in #335
- Warn users about plugin not working in Colab by @kbolashev in #336
Full Changelog: https://github.com/DagsHub/client/compare/0.3.1..0.3.1_1
0.3.0 Hotfix 4
0.3.0_4 0.3.0_4 version bump
0.3.1 - Mirror Upload Improvements
This release contains following changes:
- Upload: If you try to do
dagshub upload
to a repo mirrored from GitHub, there used to be a lot ofpush rejected
errors. We have now implemented a mitigation mechanism that checks for a changing revision of the branch, and if there were any changes, we now wait for the commit to propagate from GitHub back to DagsHub. This will lead to slower but hopefully error-less uploads. - Data Engine: you can no longer query on fields that don't exist in the datasource
- Streaming: Fixed a bug where monkey-patched
open()
didn't work when running inside Jupyter.
What's Changed
- Fix URL checking of create_datasource by @guysmoilov in #327
- Added multi-source dataloader support by @jinensetpal in #328
- Add the Data Engine docs unser docs directory by @nirbarazida in #329
- Throw error on trying to query a field that doesn't exist in the schema by @kbolashev in #331
- corrected invalid base url by @jinensetpal in #314
- Scheduled weekly dependency update for week 30 by @pyup-bot in #330
- Fix for mirror upload sync issues by @kbolashev in #324
Full Changelog: 0.3.0...0.3.1
0.3.0 Hotfix 3
0.3.0_3 0.3.0_3 version bump
0.3.0 Hotfix 2
0.3.0_2 0.3.0_2 version bump
0.3.0 Hotfix 1
This release fixes a problem that could occur when creating datasources via datasources.create_datasource()
0.3.0 - Data Engine
We are releasing a big new feature to DagsHub - Data Engine!
It's designed to simplify handling metadata in unstructured datasets and you can learn about it more in our docs
Additionally we also have a README file that you can check out:
https://github.com/DagsHub/client/blob/master/dagshub/data_engine/README.md
The feature will be deployed to everyone on July 24th