tf.keras.metrics.get
Retrieves a Keras metric as a function
/Metric
class instance.
tf.keras.metrics.get(
identifier
)
The identifier
may be the string name of a metric function or class.
metric = tf.keras.metrics.get("categorical_crossentropy")
type(metric)
<class 'function'>
metric = tf.keras.metrics.get("CategoricalCrossentropy")
type(metric)
<class '...keras.metrics.CategoricalCrossentropy'>
You can also specify config
of the metric to this function by passing dict
containing class_name
and config
as an identifier. Also note that the
class_name
must map to a Metric
class
identifier = {"class_name": "CategoricalCrossentropy",
"config": {"from_logits": True} }
metric = tf.keras.metrics.get(identifier)
type(metric)
<class '...keras.metrics.CategoricalCrossentropy'>
Args |
identifier
|
A metric identifier. One of None or string name of a metric
function/class or metric configuration dictionary or a metric function or
a metric class instance
|
Returns |
A Keras metric as a function / Metric class instance.
|
Raises |
ValueError
|
If identifier cannot be interpreted.
|
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Last updated 2022-10-27 UTC.
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