Class: RegressionGP
Create compact Gaussian process regression model
cgprMdl = compact(gprMdl)
cgprMdl = compact(gprMdl)
returns a compact
version of the trained Gaussian process regression (GPR) model, gprMdl
.
The compact object does not contain the training data
that fitrgp
uses in training
the GPR model, gprMdl
.
You can use the compact object to make predictions
(see predict
)
or compute the regression error (see loss
).
Computation of standard deviations, ysd
,
and prediction intervals, yint
, is not supported
when PredictMethod
is 'bcd'
.
If gprMdl
is a CompactRegressionGP
object,
you cannot compute standard deviations, ysd
,
or prediction intervals, yint
, for PredictMethod
equal to 'sr'
or 'fic'
.
To compute ysd
and yint
for PredictMethod
equal to 'sr'
or 'fic'
,
use the full regression (RegressionGP
) object.
CompactRegressionGP
| fitrgp
| loss
| predict