| Interface | Description |
|---|---|
| GradientDescentApproximator.Constraints |
Enforces constraints on coefficients.
|
| Class | Description |
|---|---|
| AbstractFunction |
Base class for Function implementations.
|
| CompositeApproximator |
A LinearApproximator that approximates multi-dimensional functions as sums of
lower-dimensional functions.
|
| ConstantFunction |
A Function that maps everything to the same value.
|
| Convolution |
A numerical convolution of two one-dimensional functions.
|
| DefaultFunctionInterpreter |
Default implementation of FunctionInterpreter.
|
| ExponentialPDF |
A one-dimensional exponential probability density function.
|
| FixedSignalFunction |
A Function that produces a fixed sequence of outputs, independent of input.
|
| FourierFunction |
A Function that is composed of a finite number of sinusoids.
|
| FunctionBasisImpl |
Default implementation of FunctionBasis.
|
| GaussianPDF |
Univariate Gaussian probability density function.
|
| GradientDescentApproximator |
A LinearApproximator that searches for coefficients by descending an error gradient.
|
| GradientDescentApproximator.CoefficientsSameSign |
Forces all decoding coefficients to be >= 0.
|
| GradientDescentApproximator.Factory |
An ApproximatorFactory that produces GradientDescentApproximators.
|
| IdentityFunction |
Identity function on a particular dimension of input, ie f(x) = x_i,
where i is a constant.
|
| IndependentDimensionApproximator |
A LinearApproximator for functions with no multidimensional nonlinearities.
|
| IndependentDimensionApproximator.EncoderFactory |
A VectorGenerator for use with IndependentDimensionApproximator as an encoder factory.
|
| IndependentDimensionApproximator.EvalPointFactory |
A VectorGenerator for use with IndependentDimensionApproximator as an evaluation point factory.
|
| IndependentDimensionApproximator.Factory |
Factory for IndependentDimensionApproximators.
|
| IndicatorPDF |
Uniform probability between upper and lower limits, zero elsewhere.
|
| InterpolatedFunction |
A 1-D Function based on interpolation between known points.
|
| LinearCurveFitter |
Interpolates linearly between example points.
|
| LinearFunction |
A linear map into one dimension.
|
| MultiLevelKLNetworkPartitioner |
Employs the multi-level Kernighan-Lin graph partitioning heuristic to partition
a network into a given number of partitions such that the amount of information
passed along the projections that cross partitions is minimized, while making sure
the number of neurons in each partition is relatively balanced.
|
| NewtonRootFinder |
Root finder that uses Newton's method.
|
| NumericallyDifferentiableFunction |
A wrapper around any Function that provides a numerical approximation of its derivative,
so that it can be used as a DifferentiableFunction.
|
| NumericallyDifferentiableFunction.NumericalDerivative | |
| PDFFunction |
A Function that produces outputs drawn from a given distribution.
|
| PiecewiseConstantFunction |
A one-dimensional function for which the output is constant between a finite number of
discontinuities.
|
| PoissonPDF |
A Poisson distribution.
|
| Polynomial |
A one-dimensional polynomial Function.
|
| PolynomialCurveFitter |
A least-squares polynomial CurveFitter.
|
| PostfixFunction |
A Function based on a mathematical expression and on other functions.
|
| SigmoidFunction |
A one-dimensional sigmoid function with configurable high and low
values, slope, and inflection point.
|
| SimpleFunctions |
A collection of Functions that do not have parameters.
|
| SimpleFunctions.Acos |
In radians.
|
| SimpleFunctions.Asin |
In radians.
|
| SimpleFunctions.Atan |
In radians.
|
| SimpleFunctions.Cos |
In radians.
|
| SimpleFunctions.Exp |
e^x
|
| SimpleFunctions.Fold |
Computes the image of x0 \in \mathbb{R} in the quotient group \mathbb{R}/\mathbb{Z}.
|
| SimpleFunctions.InverseNormal |
Computes the inverse of the normal distribution
|
| SimpleFunctions.Ln |
ln(x)
|
| SimpleFunctions.Log10 |
log_10(x)
|
| SimpleFunctions.Log2 |
log_2(x)
|
| SimpleFunctions.Max |
max(x,y)
|
| SimpleFunctions.Min |
min(x,y)
|
| SimpleFunctions.Normal |
Computes the normal distribution's cumulative density function
|
| SimpleFunctions.Pow |
x^y
|
| SimpleFunctions.Sin |
In radians.
|
| SimpleFunctions.Sqrt |
Square root of x
|
| SimpleFunctions.Tan |
In radians.
|
| SineFunction |
Function wrapper for sin(omega x), where x is in radians and omega is the angular frequency.
|
| TimeSeriesFunction |
A Function based on interpolation of a TimeSeries.
|
| WeightedCostApproximator |
A LinearApproximator in which error is evaluated at a fixed set of points, and
the cost function that is minimized is a weighted integral of squared error.
|
| WeightedCostApproximator.Factory |
An ApproximatorFactory that produces WeightedCostApproximators.
|