| Interface | Description |
|---|---|
| EarlyStoppingModelSaver<T extends Model> |
Interface for saving MultiLayerNetworks learned during early stopping, and retrieving them again later
|
| Class | Description |
|---|---|
| EarlyStoppingConfiguration<T extends Model> |
Early stopping configuration: Specifies the various configuration options for running training with early stopping.
Users need to specify the following: (a) EarlyStoppingModelSaver: How models will be saved (to disk, to memory, etc) (Default: in memory) (b) Termination conditions: at least one termination condition must be specified (i) Iteration termination conditions: calculated once for each minibatch. |
| EarlyStoppingConfiguration.Builder<T extends Model> | |
| EarlyStoppingResult<T extends Model> |
EarlyStoppingResult: contains the results of the early stopping training, such as:
- Why the training was terminated
- Score vs.
|
| TestEarlyStopping | |
| TestEarlyStoppingCompGraph |
| Enum | Description |
|---|---|
| EarlyStoppingResult.TerminationReason |