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| Interface Summary | |
|---|---|
| GradientDescentApproximator.Constraints | Enforces constraints on coefficients. |
| Class Summary | |
|---|---|
| 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. |
| 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. |
| LinearCurveFitter | Interpolates linearly between example points. |
| LinearCurveFitter.InterpolatedFunction | A 1-D Function based on interpolation between known points. |
| LinearFunction | A linear map into one dimension. |
| 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 | |
| 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 | |
| SimpleFunctions.Ln | |
| SimpleFunctions.Log10 | |
| SimpleFunctions.Log2 | |
| SimpleFunctions.Max | |
| SimpleFunctions.Min | |
| SimpleFunctions.Pow | |
| SimpleFunctions.Sin | In radians. |
| SimpleFunctions.Sqrt | |
| 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. |
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