Stop training if the loss metric does not improve beyond 'early_stopping_threshold' for this many times of evaluation. Note: Numbers greater than Number.MAX_SAFE_INTEGER will result in rounding issues.
How much the loss must improve to prevent early stopping. Note: Numbers greater than Number.MAX_SAFE_INTEGER will result in rounding issues.
The initial learning rate to be used during training Note: Numbers greater than Number.MAX_SAFE_INTEGER will result in rounding issues.
Determines how frequently to log model metrics.
Every step is logged for the first 20 steps and then follows this parameter for log frequency. Set to 0 to disable logging the model metrics. Note: Numbers greater than Number.MAX_SAFE_INTEGER will result in rounding issues.
The maximum number of training epochs to run for. Note: Numbers greater than Number.MAX_SAFE_INTEGER will result in rounding issues.
The batch size used during training. Note: Numbers greater than Number.MAX_SAFE_INTEGER will result in rounding issues.
The TFEW training method hyperparameters.