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mlr - mlr: Machine Learning in R

  •    R

Please cite our JMLR paper [bibtex]. Some parts of the package were created as part of other publications. If you use these parts, please cite the relevant work appropriately. An overview of all mlr related publications can be found here.

fastxml - FastXML / PFastXML / PFastreXML - Implementation of Extreme Multi-label Classification

  •    Python

DiSMEC makes it's appearance via an L2 penalty rather than an L1 which, when set with a high alpha and sparsity eps of 0.01-0.05, also can produce sparse linear classifiers. It's implemented in the quasi-familiar scikit-learn clf format.

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