shamboflow.callbacks.EarlyStopping

class documentation

class EarlyStopping(BaseCallback): (source)

Constructor: EarlyStopping(monitor, patience, verbose, **kwargs)

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Early Stopper

This callback method monitors a given metric and then stops the training early if the metric doesn't improve for a given amount of time

Method __init__ Initialize
Method run The callback method that will be called after each epoch
Instance Variable _metric_old Undocumented
Instance Variable _monitor Undocumented
Instance Variable _patience Undocumented
Instance Variable _patience_ctr Undocumented
Instance Variable _verbose Undocumented
def __init__(self, monitor: str = 'loss', patience: int = 10, verbose: bool = False, **kwargs): (source)
overrides shamboflow.engine.base_callback.BaseCallback.__init__

Initialize

Args
monitor:
The metric to monitor. It is one of the 4: loss, acc, val_loss, val_acc
patience:
How many epoch to monitor before stopping
verbose:
Log callback function logs
def run(self, model: BaseModel): (source)
overrides shamboflow.engine.base_callback.BaseCallback.run

The callback method that will be called after each epoch

Args
model: The model on which callback wil be called
_metric_old = (source)

Undocumented

_monitor = (source)

Undocumented

_patience = (source)

Undocumented

_patience_ctr: int = (source)

Undocumented

_verbose = (source)

Undocumented