stats.gaussianProcesses package¶

Submodules¶

stats.gaussianProcesses.eval module¶

class stats.gaussianProcesses.eval.GaussianProcess(mean, kernel)[source]¶

Bases: object

eval(t, epsilon=1e-05)[source]¶

mean(t)[source]¶

std(t)[source]¶

stats.gaussianProcesses.kernels module¶

class stats.gaussianProcesses.kernels.Kernel[source]¶

Bases: object

buildKSample(x1, x2, params)[source]¶

buildKSampleGrad(x1, x2, params)[source]¶

class stats.gaussianProcesses.kernels.PeriodicRandomFunctionKernel[source]¶: Bases: stats.gaussianProcesses.kernels.Kernel

class stats.gaussianProcesses.kernels.SquaredExponentialKernel[source]¶: Bases: stats.gaussianProcesses.kernels.Kernel

stats.gaussianProcesses.learn module¶

class stats.gaussianProcesses.learn.GPMarginalLogLikelihood(x, y, kernel)[source]¶

Bases: object

eval(params)[source]¶

evalGradient(params)[source]¶

evalWithGradient(params)[source]¶

evalWithoutInverse(params)[source]¶

Module contents¶