predict.gaussianProcess: Get the posterior distribution for f(X)
In ebenmichael/gaussianProcess: Fits Gaussian Processes for Regression
Description
Usage
Arguments
Value
Description
Get the posterior distribution for f(X)
Usage
1
2
## S3 method for class 'gaussianProcess'
predict(gp, X)
Arguments
gp
A gaussianProcess object with data, kernel, etc.
X
An n x d matrix of new observations
Value
posterior A list with fields mean and covariance
ebenmichael/gaussianProcess documentation built on May 15, 2019, 7:30 p.m.
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Description Usage Arguments Value
Description
Get the posterior distribution for f(X)
Usage
1 2 | ## S3 method for class 'gaussianProcess'
predict(gp, X)
|
Arguments
gp |
A gaussianProcess object with data, kernel, etc. |
X |
An n x d matrix of new observations |
Value
posterior A list with fields mean and covariance
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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