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@javicid javicid released this 16 Sep 14:40
· 721 commits to master since this release
v0.4.0
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Learn about vigilant mode.

Dependencies

  • PyCOMPSs == 2.5
  • Scikit-learn >= 0.19.2
  • NumPy >= 1.15.4
  • Scipy >= 1.0.0

Breaking Changes

  • Most estimator methods, such as fit and predict, now expect one or two ds-arrays instead of a Dataset.

New Features

  • This release introduces the distributed array as the main data structure in dislib. All estimators have been modified to accept ds-arrays instead of Datasets. The Dataset and Subset classes have been removed.

Bug Fixes

  • Minor bug fixes in RandomForestClassifier and K-means

Improvements

  • The performance of various algorithms has been improved by using PyCOMPSs COLLECTIONS.
  • K-means now accepts an 'init' parameter.
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