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@qinxuye qinxuye released this 03 Jan 04:54
· 69 commits to v0.6 since this release
v0.6.2
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This is the release notes of v0.6.2. See here for the complete list of solved issues and merged PRs.

New Features

  • DataFrame
    • Implements head() on groupby objects (#1851)
  • Learn
    • Implements mars.learn.preprocessing.{MinMaxScaler, minmax_scale}(#1858)

Enhancements

  • Improve Proxima recall_by_id computation method (#1807, thanks @rg070836rg!)
  • Revise to/from vineyard, of Tensor and DataFrame. (#1806)
  • Add memory estimation for read_parquet as well as read_csv (#1815)
  • Support using compound agg function in lambda (#1819)
  • Add incremental_index argument to reset_index which by default is False (#1842)
  • Support to_pandas in a batch way for DataFrame and Series (#1859)
  • Support specifying memory scale in kubernetes (#1861)

Bug fixes

  • Fix compatibility for scikit-learn 0.24.0 (#1820)
  • Remove unnecessary iterative tiling when predicting via XGBoost and data from/to parquet (#1821)
  • Resolve KeyError when calling delete_keys for ray backend (#1854)
  • Fix compatibility for pandas 1.2.0 (#1862)
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