plot {deepgp} | R Documentation |
deepgp
packageActs on a gp
, gpvec
, dgp2
, dgp2vec
,
dgp3
, or dgp3vec
object.
Generates trace plots for length scale and nugget hyperparameters.
Generates plots of hidden layers for one-dimensional inputs. Generates
plots of the posterior mean and estimated 95% prediction intervals for
one-dimensional inputs; generates heat maps of the posterior mean and
point-wise variance for two-dimensional inputs.
## S3 method for class 'gp'
plot(x, trace = NULL, predict = NULL, ...)
## S3 method for class 'gpvec'
plot(x, trace = NULL, predict = NULL, ...)
## S3 method for class 'dgp2'
plot(x, trace = NULL, hidden = NULL, predict = NULL, ...)
## S3 method for class 'dgp2vec'
plot(x, trace = NULL, hidden = NULL, predict = NULL, ...)
## S3 method for class 'dgp3'
plot(x, trace = NULL, hidden = NULL, predict = NULL, ...)
## S3 method for class 'dgp3vec'
plot(x, trace = NULL, hidden = NULL, predict = NULL, ...)
x |
object of class |
trace |
logical indicating whether to generate trace plots (default is
TRUE if the object has not been through |
predict |
logical indicating whether to generate posterior predictive
plot (default is TRUE if the object has been through |
... |
N/A |
hidden |
logical indicating whether to generate plots of hidden layers (two or three layer only, default is FALSE) |
Trace plots are useful in assessing burn-in. Hidden layer plots are colored on a gradient - red lines represent earlier iterations and yellow lines represent later iterations - to help assess burn-in of the hidden layers. These plots are meant to help in model fitting and visualization.
# See "fit_one_layer", "fit_two_layer", or "fit_three_layer"
# for an example