faster_etapr.types.eTaRecall

class faster_etapr.types.eTaRecall(value: float, detection_score: float, portion_score: float, segments: int)

Bases: Metric

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

{
  'eta/recall': value,
  'eta/recall_detection': detection_score,
  'eta/recall_portion': portion_score,
  'eta/detected_anomalies': 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