faster_etapr.types.eTaPrecision#

class faster_etapr.types.eTaPrecision(value: float, detection_score: float, portion_score: float, segments: int)[source]#

Bases: Metric

Container for the precision of eTa. When calling eTaPrecision._asdict() the contents will be mapped to:

{
  'eta/precision': value,
  'eta/precision_detection': detection_score,
  'eta/precision_portion': portion_score,
  'eta/correct_predictions': segments,
}

value[float]#: Value of the metric.

detection_score[float]#: Detection score (percentage of counted segments).

portion_score[float]#: Portion score (portion of overlap with segments).

segments[int]#: Number of segments which contribute to the score. For the recall this is the number of detected segments and for the precision as the number correct predictions.

Methods

`count`	Return number of occurrences of value.
`index`	Return first index of value.

Attributes

`detection_score`	Alias for field number 1
`portion_score`	Alias for field number 2
`segments`	Alias for field number 3
`value`	Alias for field number 0

__add__(value, /)#: Return self+value.

__mul__(value, /)#: Return self*value.

count(value, /)#: Return number of occurrences of value.

detection_score: float#: Alias for field number 1

index(value, start=0, stop=9223372036854775807, /)#

Return first index of value.

Raises ValueError if the value is not present.

portion_score: float#: Alias for field number 2

segments: int#: Alias for field number 3

value: float#: Alias for field number 0