# DiscriminatorLoss¶

Inheritance Diagram

class ashpy.metrics.gan.DiscriminatorLoss(name='d_loss', model_selection_operator=None, logdir=PosixPath('/home/docs/checkouts/readthedocs.org/user_builds/ashpy/checkouts/master/docs/source/log'))[source]

The Discriminator loss value.

Methods

 __init__([name, model_selection_operator, …]) Initialize the Metric. update_state(context) Update the internal state of the metric, using the information from the context object.

Attributes

 best_folder Retrieve the folder used to save the best model when doing model selection. best_model_sel_file Retrieve the path to JSON file containing the measured performance of the best model. logdir Retrieve the log directory. metric Retrieve the tf.keras.metrics.Metric object. model_selection_operator Retrieve the operator used for model selection. name Retrieve the metric name. sanitized_name all / are _.
__init__(name='d_loss', model_selection_operator=None, logdir=PosixPath('/home/docs/checkouts/readthedocs.org/user_builds/ashpy/checkouts/master/docs/source/log'))[source]

Initialize the Metric.

Parameters: name (str) – Name of the metric. model_selection_operator (typing.Callable) – The operation that will be used when model_selection is triggered to compare the metrics, used by the update_state. Any typing.Callable behaving like an operator is accepted. Note Model selection is done ONLY if an operator is specified here. logdir (str) – Path to the log dir, defaults to a log folder in the current directory. None
update_state(context)[source]

Update the internal state of the metric, using the information from the context object.

Parameters: context (ashpy.contexts.gan.GANContext) – An AshPy Context Object that carries all the information the Metric needs. None