v0.3.0b2

This is the release notes of v0.3.0b2. See here for the complete list of solved issues and merged PRs.

Highlights

• Interoperability with XGBoost and TensorFlow are introduced:
  • mars.learn.contrib.xgboost.XGBClassifier and mars.learn.contrib.xgboost.XGBRegressor can be used to do distributed classification and regression mission.
  • mars.learn.contrib.tensorflow.run_tensorflow_script supports running distributed TensorFlow 2.0 training in Mars cluster.

New Features

• Tensor
  • Add mt.unique support for tensor (#783)
• DataFrame
  • Support DataFrame subtract operator (#787)
  • Support conversion between series and tensor (#791)
  • Refactor of DataFrame reduction and support more reduction operands (#789)
  • Support DataFrame read_csv (#807)
• Learn
  • Add XGBoost support (#769)
  • Add ObjectData and ObjectChunk to represent data beyond ndarray, dataframe etc (#805)
  • Add mars.learn.utils.shuffle to support shuffling multiple tileable objects in a consistent way (#808)
  • Support running distributed TensorFlow 2.0 via run_tensorflow_script (#820)

Enhancements

• Return execution exception info properly to session client (#770)
• Simplify tiles logic to improve its performance (#792)
• Support axis argument for permutation and shuffle (#803)
• Support __iadd__ etc by wrap add with out argument (#813)
• Handle worker storage in batches (#818)

Bug fixes

• Correct type checking for DataFrame arithmetic (#815)

Tests

• Switch CI service to Github Actions (#793)
• Move tests in Appveyor into Github Actions (#795)

Others

• Bump copyright year to 2020 (#809)