v0.6.0a3

This is the release notes of v0.6.0a3. See here for the complete list of solved issues and merged PRs.

Highlights

• Brand-new API fetch_log is implemented so that in a distributed environment, it helps users to fetch logs which output in custom functions without effort on client side. For more details, refer to #1564 .

New Features

• DataFrame
  • Implements df.rebalance() (#1572)
  • Add support for {DataFrame,Series}.{where,mask} (#1577)
  • Add read_parquet support (#1576)
  • Added DataFrame.isin support (#1584)
  • Implements DataFrame.stack (#1591)
  • Implements {DataFrame,Series,GroupBy}.{all,any} (#1600)
  • Add support for pearson coefficients (corr, corrwith and autocorr) (#1587)
• Learn
  • Integrate with pyproxima2 (#1618, thanks @rg070836rg!)
• Deployment
  • Support rescaling worker numbers in Kubernetes (#1571)
• Others
  • Implements fetch_log API (#1574)

Bug fixes

• Fix the failure when fetching the result of Series.sum (#1583)
• Fix the failure of DataFrame reduction operators (#1589)
• Fix error on fitting LGBMModel twice (#1598)
• Fix train_test_split when some input is Series (#1610)
• Fix build_faiss_index when some index type cannot be merged (#1609)
• Allow LightGBM wrapper to use numpy arrays (#1607)
• Add an extra sort key in PSRS to make distinct pivot (#1612)
• Fixes md.read_csv when dtypes is not inferred correctly (#1606)
• Fix Ray 1.0 compatibility (#1620)

Documentation

• Add docs about reading data from HDFS (#1619)