Man pages for gptk
Gaussian Processes Tool-Kit

basePlot	Plot a contour of the 2D Gaussian distribution with...
cmpndKernParamInit	CMPND kernel parameter initialisation.
cmpndNoiseParamInit	CMPND noise parameter initialisation.
demAutoOptimiseGp	Gaussian Process Optimisation Demo
demGpCov2D	Gaussian Process 2D Covariance Demo
demGpSample	Gaussian Process Sampling Demo
demInterpolation	Gaussian Process Interpolation Demo
demOptimiseGp	Gaussian Process Optimisation Demo
demRegression	Gaussian Process Regression Demo
expTransform	Constrains a parameter.
gaussianNoiseOut	Compute the output of the GAUSSIAN noise given the input mean...
gaussianNoiseParamInit	GAUSSIAN noise parameter initialisation.
gaussSamp	Sample from a Gaussian with a given covariance.
gpBlockIndices	Return indices of given block.
gpComputeAlpha	Update the vector 'alpha' for computing posterior mean...
gpComputeM	Compute the matrix m given the model.
gpCovGrads	Sparse objective function gradients wrt Covariance functions...
gpCovGradsTest	Test the gradients of the likelihood wrt the covariance.
gpCreate	Create a GP model with inducing variables/pseudo-inputs.
gpDataIndices	Return indices of present data.
gpExpandParam	Expand a parameter vector into a GP model.
gpExtractParam	Extract a parameter vector from a GP model.
gpGradient	Gradient wrapper for a GP model.
gpLogLikeGradients	Compute the gradients for the parameters and X.
gpLogLikelihood	Compute the log likelihood of a GP.
gpMeanFunctionGradient	Compute the log likelihood gradient wrt the scales.
gpObjective	Wrapper function for GP objective.
gpOptimise	Optimise the inducing variable based kernel.
gpOptions	Return default options for GP model.
gpOut	Evaluate the output of an Gaussian process model.
gpPlot	Gaussian Process Plotter
gpPosteriorMeanVar	Mean and variances of the posterior at points given by X.
gpPosteriorSample	Plot Samples from a GP Posterior.
gpSample	Plot Samples from a GP.
gpScaleBiasGradient	Compute the log likelihood gradient wrt the scales.
gpTest	Test the gradients of the gpCovGrads function and the gp...
gpUpdateAD	Update the representations of A and D associated with the...
gpUpdateKernels	Update the kernels that are needed.
kernCompute	Compute the kernel given the parameters and X.
kernCreate	Initialise a kernel structure.
kernDiagGradient	Compute the gradient of the kernel's parameters for the...
kernDiagGradX	Compute the gradient of the kernel wrt X.
kernGradient	Compute the gradient wrt the kernel parameters.
kernParamInit	Kernel parameter initialisation.
kernTest	Run some tests on the specified kernel.
modelDisplay	Display a model.
modelExpandParam	Update a model structure with new parameters or update the...
modelExtractParam	Extract the parameters of a model.
modelGradient	Model log-likelihood/objective error function and its...
modelGradientCheck	Check gradients of given model.
modelOut	Give the output of a model for given X.
modelOutputGrad	Compute derivatives with respect to params of model outputs.
multiKernParamInit	MULTI kernel parameter initialisation.
noiseCreate	Initialise a noise structure.
noiseOut	Give the output of the noise model given the mean and...
noiseParamInit	Noise model's parameter initialisation.
optimiDefaultConstraint	Returns function for parameter constraint.
rbfKernDiagGradX	Gradient of RBF kernel's diagonal with respect to X.
rbfKernGradX	Gradient of RBF kernel with respect to input locations.
rbfKernParamInit	RBF kernel parameter initialisation.
SCGoptim	Optimise the given function using (scaled) conjugate...
whiteKernDiagGradX	Gradient of WHITE kernel's diagonal with respect to X.
whiteKernGradX	Gradient of WHITE kernel with respect to input locations.
whiteKernParamInit	WHITE kernel parameter initialisation.
zeroAxes	A function to move the axes crossing point to the origin.