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Compact neural network model for regression

`CompactRegresionNeuralNetwork`

is a compact version of a `RegressionNeuralNetwork`

model object. The compact model does not include the data
used for training the regression model. Therefore, you cannot perform some tasks, such as
cross-validation, using the compact model. Use a compact model for tasks such as predicting
the response values of new data.

Create a `CompactRegressionNeuralNetwork`

object from a full `RegressionNeuralNetwork`

model object by using `compact`

.

`loss` | Loss for regression neural network |

`partialDependence` | Compute partial dependence |

`plotPartialDependence` | Create partial dependence plot (PDP) and individual conditional expectation (ICE) plots |

`predict` | Predict responses using regression neural network |

`compact`

| `fitrnet`

| `loss`

| `predict`

| `RegressionNeuralNetwork`

| `RegressionPartitionedModel`