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lisitsyn committed Apr 17, 2012
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- New 'multiclass' module for multiclass classification algorithms, generic linear
and kernel multiclass machines, multiclass LibLinear and OCAS wrappers,
new rejection schemes concept by Sergey Lisitsyn.
- Mahalanobis distance, QDA, Stochastic Proximity Embedding
and generic OvO multiclass machine (thanks to Fernando J. Iglesias Garcia).
- Mahalanobis distance, QDA, Stochastic Proximity Embedding,
generic OvO multiclass machine and CoverTree & KNN integation (thanks to Fernando J. Iglesias Garcia).
- New regression estimation algorithms.
- New graphical python modular examples.
- Standard Cross-Validation splitting for regression problems by Heiko Strathmann
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- Cross-validation for KernelMachines is now parallelized.
- Cross-validation is now possible with custom kernels.
- Features may now have arbritarily many index subsets (of subsets (of subsets (...))).
- Various clustering measures (thanks to Chiyuan Zhang).
- Various clustering measures and Least Angle Regression (thanks to Chiyuan Zhang).
- Python Sparse matrix typemap for octave modular interface (thanks to Evgeniy Andreev).
- Newton SVM port (thanks to Harshit Syal)
- Some progress on native windows compilation using
cmake and mingw-w64 (thanks to Josh aka jklontz)
* Bugfixes:
- Fix for bug in the Gaussian Naive Bayes classifier, its domain was
changed to log-space.
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