8000 chore(main): release 1.0.0 by release-please[bot] · Pull Request #476 · googleapis/python-bigquery-dataframes · GitHub
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Merged
tswast merged 1 commit into from
Mar 25, 2024
Merged

chore(main): release 1.0.0 #476

tswast merged 1 commit into from
Mar 25, 2024

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@release-please release-please bot commented Mar 20, 2024 •
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🤖 I have created a release beep boop

1.0.0 (2024-03-25)

⚠ BREAKING CHANGES

  • rename model parameter min_rel_progress to tol
  • early_stop setting no longer supported, always uses True
  • rename model parameter n_parallell_trees to n_estimators
  • rename class_weights to class_weight
  • rename learn_rate to learning_rate
  • PCA n_components supports float value and None, default to None
  • rename various ml model parameters for consistency with sklearn (feat!: rename ml model params #491)

Features

  • Add configuration option to read_gbq (#401) (85cede2)
  • Add ml ARIMAPlus model params (#488) (352cb85)
  • Add ml KMeans model params (#477) (23a8d9a)
  • Add ml LogisticRegression model params (#481) (f959b65)
  • Add ml PCA model params (#474) (fb5d83b)
  • Add params for LinearRegression model (#464) (21b2188)
  • Add support for Python 3.12 (#231) (df2976f)
  • Allow assigning directly to Series.name property (#495) (ad0e99e)
  • Ensure Series.str.len() can get length of array columns (#497) (10c0446)
  • Option to use bq connection without check (#460) (0b3f8e5)
  • PCA n_components supports float value and None, default to None (65c6f47)
  • Rename class_weights to class_weight (65c6f47)
  • Rename learn_rate to learning_rate (65c6f47)
  • Rename model parameter min_rel_progress to tol (65c6f47)
  • Rename model parameter n_parallell_trees to n_estimators (65c6f47)
  • Rename various ml model parameters for consistency with sklearn (feat!: rename ml model params #491) (65c6f47)
  • Support BQ regional endpoints for europe-west9, europe-west3, us-east4, and us-west1 (#504) (fbada4a)
  • Support dataframe.cov (#498) (c4beafd)
  • Support Series.dt.floor (#493) (2dd01c2)
  • Support Series.dt.normalize (#483) (0bf1e91)
  • Update plot sample to 1000 rows (#458) (60d4a7b)

Bug Fixes

  • early_stop setting no longer supported, always uses True (65c6f47)
  • Fix -1 offset lookups failing (#463) (2dfb9c2)
  • Plot.scatter c argument functionalities (#494) (d6ee994)
  • Properly support format param for numerical input. (#486) (ae20c35)
  • Renable to_csv and to_json related tests (#468) (2b9a01d)
  • Sampling plot cannot preserve ordering if index is not ordered (#475) (a5345fe)
  • Use actual BigQuery types rather than ibis types in to_pandas (#500) (82b4f91)

Dependencies

Documentation

  • Add code samples for metrics.{accuracy_score, confusion_matrix} (#478) (3e3329a)
  • Add code samples for metrics.{recall_score, precision_score, f11_score} (#502) (370fe90)
  • Improve API documentation (#489) (751266e)
  • Update bigquery connection documentation (#499) (4bfe094)
  • Update LLM + K-means notebook to handle partial failures (#496) (97afad9)

This PR was generated with Release Please. See documentation.

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release-please bot 8000 commented Mar 25, 2024

🤖 Release is at https://github.com/googleapis/python-bigquery-dataframes/releases/tag/v1.0.0 🌻

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Triggered job: cloud-devrel/client-libraries/python/googleapis/python-bigquery-dataframes/release/release (2024-03-25T17:17:30.214Z)

To trigger again, remove the autorelease: triggered label (in a few minutes).

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The release build has started, the log can be viewed here. 🌻

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🥚 You hatched a release! The release build finished successfully! 💜

Genesis929 pushed a commit that referenced this pull request Apr 9, 2024
@release-please @Genesis929
chore(main): release 1.0.0 (#476)
667b711 
Co-authored-by: release-please[bot] <55107282+release-please[bot]@users.noreply.github.com>
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