tfr.keras.metrics.get
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Factory method to get a list of ranking metrics.
tfr.keras.metrics.get(
key: str,
name: Optional[str] = None,
dtype: Optional[tf.dtypes.DType] = None,
topn: Optional[int] = None,
**kwargs
) -> tf.keras.metrics.Metric
Example Usage:
metric = tfr.keras.metics.get(tfr.keras.metrics.RankingMetricKey.MRR)
to get Mean Reciprocal Rank.
metric = tfr.keras.metics.get(tfr.keras.metrics.RankingMetricKey.MRR,
topn=2)
to get MRR@2.
Args |
key
|
An attribute of RankingMetricKey , defining which metric objects to
return.
|
name
|
Name of metrics.
|
dtype
|
Dtype of the metrics.
|
topn
|
Cutoff of how many items are considered in the metric.
|
**kwargs
|
Keyword arguments for the metric object.
|
Returns |
A tf.keras.metrics.Metric. See _RankingMetric signature for more details.
|
Raises |
ValueError
|
If key is unsupported.
|
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Last updated 2023-08-18 UTC.
[null,null,["Last updated 2023-08-18 UTC."],[],[],null,["# tfr.keras.metrics.get\n\n\u003cbr /\u003e\n\n|--------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/ranking/blob/v0.5.3/tensorflow_ranking/python/keras/metrics.py#L69-L128) |\n\nFactory method to get a list of ranking metrics. \n\n tfr.keras.metrics.get(\n key: str,\n name: Optional[str] = None,\n dtype: Optional[tf.dtypes.DType] = None,\n topn: Optional[int] = None,\n **kwargs\n ) -\u003e tf.keras.metrics.Metric\n\n#### Example Usage:\n\n metric = tfr.keras.metics.get(tfr.keras.metrics.RankingMetricKey.MRR)\n\nto get Mean Reciprocal Rank. \n\n metric = tfr.keras.metics.get(tfr.keras.metrics.RankingMetricKey.MRR,\n topn=2)\n\nto get MRR@2.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|------------|------------------------------------------------------------------------------|\n| `key` | An attribute of `RankingMetricKey`, defining which metric objects to return. |\n| `name` | Name of metrics. |\n| `dtype` | Dtype of the metrics. |\n| `topn` | Cutoff of how many items are considered in the metric. |\n| `**kwargs` | Keyword arguments for the metric object. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A tf.keras.metrics.Metric. See `_RankingMetric` signature for more details. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|--------------|------------------------|\n| `ValueError` | If key is unsupported. |\n\n\u003cbr /\u003e"]]