EncoderLoss

Inheritance Diagram

Inheritance diagram of ashpy.metrics.gan.EncoderLoss

class ashpy.metrics.gan.EncoderLoss(model_selection_operator=None, logdir='/home/docs/checkouts/readthedocs.org/user_builds/ashpy/checkouts/latest/docs/source/log')[source]

Bases: ashpy.metrics.metric.Metric

Encoder Loss value.

Methods

__init__([model_selection_operator, logdir]) 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.
__init__(model_selection_operator=None, logdir='/home/docs/checkouts/readthedocs.org/user_builds/ashpy/checkouts/latest/docs/source/log')[source]

Initialize the Metric.

Parameters:
  • 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.
Return type:

None

update_state(context)[source]

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

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