Bob Linear Machines and Trainers


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(The original entry is located in /home/gitlab-runner/builds/0d638152/0/bob/bob.learn.linear/doc/c_cpp_api.rst, line 63.)

This package includes the definition of a linear machine, which is capable of either projecting the input data into maximally spread representations, linearly, or providing linear separation planes for multi-class data samples. The package includes the machine definition per se and a selection of different trainers for specialized purposes:

  • Principal Component Analysis
  • Fisher’s Linear Discriminant Analysis
  • (Conjugate Gradient) Logistic Regression
  • Whitening filter
  • Within-class covariance normalization (WCCN)

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