Module gpr
source code
Gaussian Process Regression (GPR).
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GPR
Gaussian Process Regression (GPR).
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GPRLinearWeights
SensitivityAnalyzer that reports the weights GPR trained
on a given Dataset.
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GPRWeights
SensitivityAnalyzer that reports the weights GPR trained
on a given Dataset.
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SLAError = SL.basic.LinAlgError
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Nlog = N.log
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Ndot = N.dot
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Ndiag = N.diag
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NLAcholesky = N.linalg.cholesky
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NLAsolve = N.linalg.solve
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NLAError = N.linalg.linalg.LinAlgError
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eps64 = N.finfo(N.float64).eps
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_halflog2pi = 0.5* Nlog(2* N.pi)
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Imports:
N,
externals,
StateVariable,
Classifier,
Parameter,
KernelSquaredExponential,
KernelLinear,
Sensitivity,
InvalidHyperparameterError,
Dataset,
SLcho_solve,
SLcholesky,
SL,
debug,
ModelSelector