See: Description
Class  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

ElementWiseDifferentiableVectorFunction 
An ElementWiseVectorFunction that is also a DifferentiableVectorFunction

ElementWiseVectorFunction 
A VectorFunction that operates on each element of the Vector indepenently
of all others.

EntropyEvaluator 
Takes a vector of inputs and computes the log base 2 entropy of the input.

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)

GaussianContextRecognizer.Learner 
Creates a GaussianContextRecognizer from a Dataset[Vector] using
a BatchClusterer

GeneralizedLinearModel 
A VectorizableVectorFunction that is a matrix multiply followed by a
VectorFunction...

LinearCombinationVectorFunction 
A weighted linear combination of scalar functions.

LinearVectorFunction 
The
LinearFunction class is a simple
VectorFunction that just scales the given input vector by a
scalar value. 
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<InputType> 
Collection of scalar basis functions, where the ith function operates
on the ith element of the output Vector

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.

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. 