contrib.keras.callbacks.EarlyStopping

tf.contrib.keras.callbacks.EarlyStopping

class tf.contrib.keras.callbacks.EarlyStopping

Defined in tensorflow/contrib/keras/python/keras/callbacks.py.

Stop training when a monitored quantity has stopped improving.

Arguments:

monitor: quantity to be monitored.
min_delta: minimum change in the monitored quantity
    to qualify as an improvement, i.e. an absolute
    change of less than min_delta, will count as no
    improvement.
patience: number of epochs with no improvement
    after which training will be stopped.
verbose: verbosity mode.
mode: one of {auto, min, max}. In `min` mode,
    training will stop when the quantity
    monitored has stopped decreasing; in `max`
    mode it will stop when the quantity
    monitored has stopped increasing; in `auto`
    mode, the direction is automatically inferred
    from the name of the monitored quantity.

Methods

__init__

__init__(
    monitor='val_loss',
    min_delta=0,
    patience=0,
    verbose=0,
    mode='auto'
)

on_batch_begin

on_batch_begin(
    batch,
    logs=None
)

on_batch_end

on_batch_end(
    batch,
    logs=None
)

on_epoch_begin

on_epoch_begin(
    epoch,
    logs=None
)

on_epoch_end

on_epoch_end(
    epoch,
    logs=None
)

on_train_begin

on_train_begin(logs=None)

on_train_end

on_train_end(logs=None)

set_model

set_model(model)

set_params

set_params(params)