def __init__(self, monitor="acc", patience=10, verbose=0, desired="high"):
EarlyStopping.__init__(self, monitor=monitor, patience=patience, verbose=verbose)
self.logs = {}
if desired == "high":
self.check_improved = lambda new, old: new > old
self.best = -self.best
else:
self.check_improved = lambda new, old: new < old
def __init__(self,
monitor='val_loss',
comparison_monitor="loss",
max_percent_diff=.1,
patience=0,
verbose=0,
mode='auto'):
self.comparison_monitor = comparison_monitor
self.max_percent_diff = max_percent_diff
EarlyStopping.__init__(self,
monitor,
patience=patience,
verbose=verbose,
mode=mode)
def __init__(self,
monitor='val_loss',
min_delta=0,
patience=0,
verbose=0,
avgsteps=10,
mode='auto'):
EarlyStopping.__init__(self,
monitor='val_loss',
min_delta=min_delta,
patience=patience,
verbose=verbose,
mode='auto')
self.avgsteps = avgsteps
self.monitors = deque([])
def __init__(self, min_loss):
# Hard coded values. Go directly to Jail. Do not pass go...
EarlyStopping.__init__(self, 'loss', 0.000001, 100)
self.min_loss = min_loss
self.best = 0
