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Page 10

  • v0.2.3 Changes

    • โž• Add class for cross validation.
    • โž• Add specs for base modules.
    • ๐Ÿ›  Fix validation of the number of splits when a negative label is given.
  • v0.2.2 Changes

    • โž• Add data splitter classes for K-fold cross validation.
  • v0.2.1 Changes

    • โž• Add class for K-nearest neighbors classifier.
  • v0.2.0 Changes

    • Migrated the linear algebra library to Numo::NArray.
    • โž• Add module for loading and saving libsvm format file.
  • v0.1.3 Changes

    • โž• Add class for Kernel Support Vector Machine with Pegasos algorithm.
    • โž• Add module for calculating pairwise kernel fuctions and euclidean distances.
  • v0.1.2 Changes

    • โž• Add the function learning a model with bias term to the PegasosSVC and LogisticRegression classes.
    • Rewrite the document with yard notation.
  • v0.1.1 Changes

    • โž• Add class for Logistic Regression with SGD optimization.
    • ๐Ÿ›  Fix some mistakes on the document.
  • v0.1.0 Changes

    • โž• Add basic classes.
    • โž• Add an utility module.
    • โž• Add class for RBF kernel approximation.
    • โž• Add class for Support Vector Machine with Pegasos alogrithm.
    • โž• Add class that performs mutlclass classification with one-vs.-rest strategy.
    • โž• Add classes for preprocessing such as min-max scaling, standardization, and L2 normalization.