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PyMVPA: Python MultiVariate Pattern Analysis
Package mvpa :: Package measures :: Module irelief
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Module irelief

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FeaturewiseDatasetMeasure performing multivariate Iterative RELIEF (I-RELIEF) algorithm. See : Y. Sun, Iterative RELIEF for Feature Weighting: Algorithms, Theories, and Applications, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), vol. 29, no. 6, pp. 1035-1051, June 2007.
Classes [hide private]
  IterativeRelief_Devel
FeaturewiseDatasetMeasure that performs multivariate I-RELIEF algorithm. Batch version allowing various kernels.
  IterativeReliefOnline_Devel
FeaturewiseDatasetMeasure that performs multivariate I-RELIEF algorithm. Online version.
  IterativeRelief
FeaturewiseDatasetMeasure that performs multivariate I-RELIEF algorithm. Batch version.
  IterativeReliefOnline
FeaturewiseDatasetMeasure that performs multivariate I-RELIEF algorithm. Online version.

Imports: N, FeaturewiseDatasetMeasure, KernelSquaredExponential, KernelExponential, KernelMatern_3_2, KernelMatern_5_2, pnorm_w, debug


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PyMVPA: Python MultiVariate Pattern Analysis
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