gpr_fit: Gaussian process regression
In weichunliao/baeirGPR: Traing a Gaussian Process Regression and Conduct Predictions.
Description
Usage
Arguments
Value
Description
GPR prediction
Usage
1
gpr_fit(testmx, trainmx, gprmodel, ncpu = -1)
Arguments
testmx
Matrix; the features of testing dateset
gprmodel
List; the output of traintraintrain(), containing four objects:
alpha
kparam
train_x
pred_method
ncpu
Integer; the number of thread to be used;
set to -1 to use all threads; default value is -1.
Value
the prediction of testing dataset.
weichunliao/baeirGPR documentation built on May 18, 2019, 9:15 p.m.
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.
Description Usage Arguments Value
Description
GPR prediction
Usage
1 | gpr_fit(testmx, trainmx, gprmodel, ncpu = -1)
|
Arguments
testmx |
Matrix; the features of testing dateset |
gprmodel |
List; the output of traintraintrain(), containing four objects: alpha kparam train_x pred_method |
ncpu |
Integer; the number of thread to be used; set to -1 to use all threads; default value is -1. |
Value
the prediction of testing dataset.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.