AIStream-Peelout / flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
https://flow-forecast.atlassian.net/wiki/spaces/FF/overview
GNU General Public License v3.0
2.01k stars 289 forks source link

Bump wandb from 0.12.19 to 0.13.3 #590

Closed dependabot[bot] closed 1 year ago

dependabot[bot] commented 2 years ago

Bumps wandb from 0.12.19 to 0.13.3.

Release notes

Sourced from wandb's releases.

v0.13.3

0.13.3 (September 8, 2022)

:nail_care: Enhancement

:broom: Cleanup

... (truncated)

Changelog

Sourced from wandb's changelog.

0.13.3 (September 8, 2022)

:nail_care: Enhancement

:broom: Cleanup

... (truncated)

Commits
  • 7ed1dcd clean up changelog
  • a1731c1 bump version to 0.13.3
  • d7e8395 update CHANGELOG.md for 0.13.3
  • 534c725 fix(tables): Deserialization of numeric columns (#4241)
  • b28bfa9 Docs: Update ref docs for wandb.init to give more info on special characters ...
  • 643b25d make pulling sweeps optional when using public api to query for runs (#4186)
  • dfbcbb7 feat(modelreg): add the ability to log artifact while linking to registered m...
  • 8f9177a Add sentry session tracking (#4157)
  • 54d64ef fix RecursionError when printing public API User object without email fetched...
  • b9683f4 Remove reassignment of run function in public api (#4115)
  • Additional commits viewable in compare view


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codecov[bot] commented 2 years ago

Codecov Report

Base: 76.86% // Head: 76.27% // Decreases project coverage by -0.58% :warning:

Coverage data is based on head (a1ffdf5) compared to base (12331db). Patch has no changes to coverable lines.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #590 +/- ## ========================================== - Coverage 76.86% 76.27% -0.59% ========================================== Files 66 66 Lines 4755 4755 ========================================== - Hits 3655 3627 -28 - Misses 1100 1128 +28 ``` | Flag | Coverage Δ | | |---|---|---| | python | `76.27% <ø> (-0.59%)` | :arrow_down: | Flags with carried forward coverage won't be shown. [Click here](https://docs.codecov.io/docs/carryforward-flags?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=AIStream-Peelout#carryforward-flags-in-the-pull-request-comment) to find out more. | [Impacted Files](https://codecov.io/gh/AIStream-Peelout/flow-forecast/pull/590?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=AIStream-Peelout) | Coverage Δ | | |---|---|---| | [flood\_forecast/transformer\_xl/multi\_head\_base.py](https://codecov.io/gh/AIStream-Peelout/flow-forecast/pull/590/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=AIStream-Peelout#diff-Zmxvb2RfZm9yZWNhc3QvdHJhbnNmb3JtZXJfeGwvbXVsdGlfaGVhZF9iYXNlLnB5) | `88.57% <0.00%> (-8.58%)` | :arrow_down: | | [flood\_forecast/pytorch\_training.py](https://codecov.io/gh/AIStream-Peelout/flow-forecast/pull/590/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=AIStream-Peelout#diff-Zmxvb2RfZm9yZWNhc3QvcHl0b3JjaF90cmFpbmluZy5weQ==) | `74.30% <0.00%> (-6.20%)` | :arrow_down: | | [flood\_forecast/time\_model.py](https://codecov.io/gh/AIStream-Peelout/flow-forecast/pull/590/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=AIStream-Peelout#diff-Zmxvb2RfZm9yZWNhc3QvdGltZV9tb2RlbC5weQ==) | `79.54% <0.00%> (-3.41%)` | :arrow_down: | | [flood\_forecast/custom/custom\_opt.py](https://codecov.io/gh/AIStream-Peelout/flow-forecast/pull/590/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=AIStream-Peelout#diff-Zmxvb2RfZm9yZWNhc3QvY3VzdG9tL2N1c3RvbV9vcHQucHk=) | `63.93% <0.00%> (+0.54%)` | :arrow_up: | Help us with your feedback. Take ten seconds to tell us [how you rate us](https://about.codecov.io/nps?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=AIStream-Peelout). Have a feature suggestion? [Share it here.](https://app.codecov.io/gh/feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=AIStream-Peelout)

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