EncoderLoss¶
Inheritance Diagram
-
class
ashpy.metrics.gan.
EncoderLoss
(model_selection_operator=None, logdir='/home/docs/checkouts/readthedocs.org/user_builds/ashpy/checkouts/v0.2.0/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.
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__init__
(model_selection_operator=None, logdir='/home/docs/checkouts/readthedocs.org/user_builds/ashpy/checkouts/v0.2.0/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 anoperator
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
-