Interface | Description |
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EarlyStoppingModelSaver<T extends Model> |
Interface for saving MultiLayerNetworks learned during early stopping, and retrieving them again later
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Class | Description |
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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 |
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EarlyStoppingResult.TerminationReason |