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@javicid javicid released this 01 Mar 14:08
· 844 commits to master since this release
v0.2.0
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Dependencies

  • PyCOMPSs == 2.4-rc1902
  • Scikit-learn => 0.19.1
  • NumPy => 1.15.4
  • Scipy => 1.0.0

Upgrade Steps

Breaking Changes

  • predict and fit_predict methods in K-means, DBSCAN and C-SVM now take a Dataset as argument and do not return anything

New Features

  • The following new algorithms have been implemented:

    • Gaussian mixtures
    • Nearest neighbors
    • Alternating least squares
    • Standard scaler

  • Added the following utility methods:

    • resample
    • shuffle
    • as_grid

Bug Fixes

  • Numerous bug fixes in DBSCAN.
  • Fixed the reproducibility of results in C-SVM and random forests
  • Several other minor bug fixes

Improvements

  • Completely unified the interface of the different algorithms
  • Improved the documentation
  • Added a way to easily access Dataset samples and labels
  • Implemented Dataset's transpose
  • Implemented Dataset's apply function
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