What’s new in the package

A catalog of new features, improvements, and bug-fixes in each release.

v0.2.5 (January 2018)

  • Added BilinearFilter
  • Added a permutation test for generic scikit-learn estimator
  • Stats module refactoring, with distance based t-test and f-test
  • Removed two way permutation test
  • Added FlatChannelRemover
  • Support for python 3.5 in travis
  • Added Shrinkage transformer
  • Added Coherences transformer
  • Added Embedding class.

v0.2.4 (June 2016)

  • Improved documentation
  • Added TSclassifier for out-of the box tangent space classification.
  • Added Wasserstein distance and mean.
  • Added NearestNeighbor classifier.
  • Added Softmax probabilities for MDM.
  • Added CSP for covariance matrices.
  • Added Approximate Joint diagonalization algorithms (JADE, PHAM, UWEDGE).
  • Added ALE mean.
  • Added Multiclass CSP.
  • API: param name changes in CospCovariances to comply to Scikit-Learn.
  • API: attributes name changes in most modules to comply to the Scikit-Learn naming convention.
  • Added HankelCovariances estimation
  • Added SPoC spatial filtering
  • Added Harmonic mean
  • Added Kullback leibler mean

v0.2.3 (November 2015)

  • Added multiprocessing for MDM with joblib.
  • Added kullback-leibler divergence.
  • Added Riemannian Potato.
  • Added sample_weight for mean estimation and MDM.