plot | R Documentation |

`deepgp`

packageActs on a `gp`

, `gpvec`

, `dgp2`

, `dgp2vec`

,
`dgp3`

, or `dgp3vec`

object.
Generates trace plots for outer log likelihood, length scale,
and nugget hyperparameters.
Generates plots of hidden layers for one-dimensional inputs. Generates
plots of the posterior mean and estimated 90% 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
```

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