tf.keras.callbacks.RemoteMonitor

Class RemoteMonitor

Inherits From: Callback

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

Callback used to stream events to a server.

Requires the requests library. Events are sent to root + '/publish/epoch/end/' by default. Calls are HTTP POST, with a data argument which is a JSON-encoded dictionary of event data. If send_as_json is set to True, the content type of the request will be application/json. Otherwise the serialized JSON will be sent within a form.

Arguments:

• root: String; root url of the target server.
• path: String; path relative to root to which the events will be sent.
• field: String; JSON field under which the data will be stored. The field is used only if the payload is sent within a form (i.e. send_as_json is set to False).
• headers: Dictionary; optional custom HTTP headers.
• send_as_json: Boolean; whether the request should be sent as application/json.

__init__

__init__(
    root='http://localhost:9000',
    path='/publish/epoch/end/',
    field='data',
    headers=None,
    send_as_json=False
)

Initialize self. See help(type(self)) for accurate signature.

Methods

tf.keras.callbacks.RemoteMonitor.on_batch_begin

on_batch_begin(
    batch,
    logs=None
)

tf.keras.callbacks.RemoteMonitor.on_batch_end

on_batch_end(
    batch,
    logs=None
)

tf.keras.callbacks.RemoteMonitor.on_epoch_begin

on_epoch_begin(
    epoch,
    logs=None
)

tf.keras.callbacks.RemoteMonitor.on_epoch_end

on_epoch_end(
    epoch,
    logs=None
)

tf.keras.callbacks.RemoteMonitor.on_train_batch_begin

on_train_batch_begin(
    batch,
    logs=None
)

tf.keras.callbacks.RemoteMonitor.on_train_batch_end

on_train_batch_end(
    batch,
    logs=None
)

tf.keras.callbacks.RemoteMonitor.on_train_begin

on_train_begin(logs=None)

tf.keras.callbacks.RemoteMonitor.on_train_end

on_train_end(logs=None)

tf.keras.callbacks.RemoteMonitor.set_model

set_model(model)

tf.keras.callbacks.RemoteMonitor.set_params

set_params(params)