| Package | Description |
|---|---|
| gov.sandia.cognition.learning.algorithm.minimization.line.interpolator |
Provides line (scalar) interpolation/extrapolation algorithms that fit an
algebraic function to a (small) collection of data points.
|
| gov.sandia.cognition.learning.algorithm.regression |
Provides regression algorithms, such as Linear Regression.
|
| gov.sandia.cognition.learning.function.categorization |
Provides functions that output a discrete set of categories.
|
| gov.sandia.cognition.learning.function.scalar |
Provides functions that output real numbers.
|
| gov.sandia.cognition.statistics.bayesian |
Provides algorithms for computing Bayesian estimates of parameters.
|
| Class and Description |
|---|
| PolynomialFunction.ClosedForm
Describes functionality of a closed-form algebraic polynomial function
|
| PolynomialFunction.Linear
Utilities for algebraic treatment of a linear polynomial of the form
y(x) = q0 + q1*x
|
| Class and Description |
|---|
| KernelScalarFunction
The
KernelScalarFunction class implements a scalar function that
uses a kernel to compute its output value. |
| LinearDiscriminantWithBias
A LinearDiscriminant with an additional bias term that gets added to the
output of the dot product.
|
| LinearFunction
This function acts as a simple linear function of the form f(x) = m*x + b.
|
| VectorFunctionLinearDiscriminant
This class takes a function that maps a generic InputType to a Vector.
|
| Class and Description |
|---|
| LinearDiscriminant
LinearDiscriminant takes the dot product between the weight Vector and
the input Vector.
|
| Class and Description |
|---|
| AtanFunction
Returns the element-wise arctangent of the input vector, compressed between
-maxMagnitude and maxMagnitude (instead of just -PI/2 and PI/2)
|
| CosineFunction
A closed-form cosine function.
|
| HardSigmoidFunction
A hard sigmoid function, which is an approximation of a logistic sigmoid
whose output is between 0 and 1.
|
| HardTanHFunction
A hard sigmoid function, which is an approximation of a tanh sigmoid
whose output is between -1 and 1.
|
| IdentityScalarFunction
A univariate scalar identity function: f(x) = x.
|
| KernelScalarFunction
The
KernelScalarFunction class implements a scalar function that
uses a kernel to compute its output value. |
| KolmogorovSmirnovEvaluator
You can specify a particular CDF.
|
| LeakyRectifiedLinearFunction
A leaky rectified linear unit.
|
| LinearCombinationScalarFunction
A weighted linear combination of scalar functions.
|
| LinearDiscriminant
LinearDiscriminant takes the dot product between the weight Vector and
the input Vector.
|
| LinearDiscriminantWithBias
A LinearDiscriminant with an additional bias term that gets added to the
output of the dot product.
|
| LinearFunction
This function acts as a simple linear function of the form f(x) = m*x + b.
|
| LinearVectorScalarFunction
The
LinearVectorScalarFunction class implements a scalar
function that is implemented by a linear function. |
| LocallyWeightedKernelScalarFunction
The
LocallyWeightedKernelScalarFunction class implements a scalar
function that uses kernels and does local weighting on them to get the
result value. |
| PolynomialFunction
A single polynomial term specified by a real-valued exponent.
|
| PolynomialFunction.ClosedForm
Describes functionality of a closed-form algebraic polynomial function
|
| PolynomialFunction.Cubic
Algebraic treatment for a polynomial of the form
y(x) = q0 + q1*x + q2*x^2 + q3*x^3
|
| PolynomialFunction.Linear
Utilities for algebraic treatment of a linear polynomial of the form
y(x) = q0 + q1*x
|
| PolynomialFunction.Quadratic
Utilities for algebraic treatment of a quadratic polynomial of the form
y(x) = q0 + q1*x + q2*x^2.
|
| RectifiedLinearFunction
A rectified linear unit, which is the maximum of its input or 0.
|
| SigmoidFunction
An implementation of a sigmoid squashing function.
|
| SoftPlusFunction
A smoothed approximation for rectified linear unit.
|
| TanHFunction
The hyperbolic tangent (tanh) function.
|
| ThresholdFunction
Maps the input space onto the set {LOW_VALUE,HIGH_VALUE}.
|
| VectorEntryFunction
An evaluator that returns the value of an input vector at a specified index.
|
| VectorFunctionLinearDiscriminant
This class takes a function that maps a generic InputType to a Vector.
|
| VectorFunctionToScalarFunction
The
VectorFunctionToScalarFunction class implements an adapter for
using a vector function that outputs a single-dimensional vector as a
scalar function. |
| VectorFunctionToScalarFunction.Learner
The
VectorFunctionToScalarFunction.Learner class implements a
simple learner for a VectorFunctionToScalarFunction that allows
a learning algorithm that outputs a vector function to be adapted to
learn on data whose output are doubles. |
| Class and Description |
|---|
| PolynomialFunction.ClosedForm
Describes functionality of a closed-form algebraic polynomial function
|
| PolynomialFunction.Linear
Utilities for algebraic treatment of a linear polynomial of the form
y(x) = q0 + q1*x
|