| Package | Description |
|---|---|
| gov.sandia.cognition.learning.algorithm.pca |
Provides implementations of Principle Components Analysis (PCA).
|
| gov.sandia.cognition.learning.algorithm.regression |
Provides regression algorithms, such as Linear Regression.
|
| gov.sandia.cognition.learning.data.feature |
Provides data feature extractors.
|
| gov.sandia.cognition.learning.function.scalar |
Provides functions that output real numbers.
|
| gov.sandia.cognition.learning.function.vector |
Provides functions that output vectors.
|
| Class and Description |
|---|
| MultivariateDiscriminant
Allows learning algorithms (vectorizing, differentiating) on a matrix*vector
multiply.
|
| Class and Description |
|---|
| MultivariateDiscriminantWithBias
A multivariate discriminant (matrix multiply) plus a constant vector
that gets added to the output of the discriminant.
|
| ScalarBasisSet
Collection of scalar basis functions, where the ith function operates
on the ith element of the output Vector
|
| Class and Description |
|---|
| SubVectorEvaluator
Extracts the given set of indices from an input vector to create a new
vector containing the input vector's elements at those indices.
|
| Class and Description |
|---|
| ScalarBasisSet
Collection of scalar basis functions, where the ith function operates
on the ith element of the output Vector
|
| Class and Description |
|---|
| DifferentiableFeedforwardNeuralNetwork
A feedforward neural network that can have an arbitrary number of layers,
and an arbitrary differentiable squashing (activation) function assigned to
each layer.
|
| DifferentiableGeneralizedLinearModel
A GradientDescenable version of a GeneralizedLinearModel, in
other words, a GeneralizedLinearModel where the squashing
function is differentiable
|
| ElementWiseVectorFunction
A VectorFunction that operates on each element of the Vector indepenently
of all others.
|
| FeedforwardNeuralNetwork
A feedforward neural network that can have an arbitrary number of layers,
and an arbitrary squashing (activation) function assigned to each layer.
|
| GaussianContextRecognizer
Uses a MixtureOfGaussians to compute the probability of the different
constituent MultivariateGaussians (that is, the contexts)
|
| GeneralizedLinearModel
A VectorizableVectorFunction that is a matrix multiply followed by a
VectorFunction...
|
| LinearCombinationVectorFunction
A weighted linear combination of scalar functions.
|
| MultivariateDiscriminant
Allows learning algorithms (vectorizing, differentiating) on a matrix*vector
multiply.
|
| MultivariateDiscriminantWithBias
A multivariate discriminant (matrix multiply) plus a constant vector
that gets added to the output of the discriminant.
|
| ScalarBasisSet
Collection of scalar basis functions, where the ith function operates
on the ith element of the output Vector
|
| ThreeLayerFeedforwardNeuralNetwork
This is a "standard" feedforward neural network with a single hidden
layer.
|
| VectorizableVectorConverter
The
VectorizableVectorConverter class implements a conversion
between a Vectorizable and an Vector by calling the proper
conversion method on the Vectorizable. |
| VectorizableVectorConverterWithBias
The
VectorizableVectorConverterWithBias class extends the
VectorizableVectorConverter class to append a constant bias value of
1.0 to the vector returned by the converter. |