Package gov.sandia.cognition.learning.data.feature

Provides data feature extractors.

See:
          Description

Class Summary
DelayFunction<DataType> Delays the input and returns the input from the parameterized number of samples previous.
LinearRegressionCoefficientExtractor Takes a sampled sequence of equal-dimension vectors as input and computes the linear regression coefficients for each dimension in the vectors.
MultivariateDecorrelator Decorrelates a data using a mean and full or diagonal covariance matrix.
MultivariateDecorrelator.DiagonalCovarianceLearner The DiagonalCovarianceLearner class implements a BatchLearner object for a MultivariateDecorrelator.
MultivariateDecorrelator.FullCovarianceLearner The FullCovarianceLearner class implements a BatchLearner object for a MultivariateDecorrelator.
RandomSubspace Selects a random subspace from the given vector, which is a random set of indices.
StandardDistributionNormalizer The StandardDistributionNormalizer class implements a normalization method where a real value is converted onto a standard distribution.
StandardDistributionNormalizer.Learner The Learner class implements a BatchLearner object for a StandardDistributionNormalizer.
 

Package gov.sandia.cognition.learning.data.feature Description

Provides data feature extractors.

Since:
2.0
Author:
Justin Basilico