eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint Class Reference

Weighted precision and recall for a given threshold. More...

Public Member Functions
None	__init__ (self)
	Default constructor.
None	__init__ (self, eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint other)
	Copy constructor.
None	__init__ (self, float Threshold)
None	__init__ (self, float Threshold, float Recall)
None	__init__ (self, float Threshold, float Recall, float Precision)
None	__init__ (self, float Threshold, float Recall, float Precision, float FScore)
float	Threshold (self)
	Threshold of the metric point.
	Threshold (self, float value)
	Threshold of the metric point.
float	Recall (self)
	Weighted recall corresponding to the threshold.
	Recall (self, float value)
	Weighted recall corresponding to the threshold.
float	Precision (self)
	Weighted precision corresponding to the threshold.
	Precision (self, float value)
	Weighted precision corresponding to the threshold.
float	FScore (self)
	Weighted F-Score corresponding to the threshold.
	FScore (self, float value)
	Weighted F-Score corresponding to the threshold.

Detailed Description

Weighted precision and recall for a given threshold.

Remarks:

License(s): BasicTypes

Constructor & Destructor Documentation

__init__() [1/6]

None eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint.__init__

(

self

)

Default constructor.

__init__() [2/6]

None eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint.__init__	(		self,
		eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint	other )

Copy constructor.

Parameters

other

Weighted metric point to copy

__init__() [3/6]

None eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint.__init__	(		self,
		float	Threshold )

Parameters

Threshold

Threshold of the metric point.

__init__() [4/6]

None eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint.__init__	(		self,
		float	Threshold,
		float	Recall )

Parameters

Threshold	Threshold of the metric point.
Recall	Weighted recall corresponding to the threshold.

The weighted recall is the weighted average of the recall for each label. The recall for a label is the number of correctly predicted element divided by the number of ground truth elements of that label.

__init__() [5/6]

None eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint.__init__	(		self,
		float	Threshold,
		float	Recall,
		float	Precision )

Parameters

Threshold	Threshold of the metric point.
Recall	Weighted recall corresponding to the threshold.

The weighted recall is the weighted average of the recall for each label. The recall for a label is the number of correctly predicted element divided by the number of ground truth elements of that label.

Parameters

Precision

Weighted precision corresponding to the threshold.

The weighted precision is the weighted average of the precision for each label. The precision for a label is the number of correctly predicted element divided by the number of elements predicted for that label (correctly or wrongly).

__init__() [6/6]

None eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint.__init__	(		self,
		float	Threshold,
		float	Recall,
		float	Precision,
		float	FScore )

Parameters

Threshold	Threshold of the metric point.
Recall	Weighted recall corresponding to the threshold.

The weighted recall is the weighted average of the recall for each label. The recall for a label is the number of correctly predicted element divided by the number of ground truth elements of that label.

Parameters

Precision

Weighted precision corresponding to the threshold.

The weighted precision is the weighted average of the precision for each label. The precision for a label is the number of correctly predicted element divided by the number of elements predicted for that label (correctly or wrongly).

Parameters

FScore

Weighted F-Score corresponding to the threshold.

The weighted F-Score is the harmonic mean of the weighted recall and weighted precision.

Member Function Documentation

FScore() [1/2]

float eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint.FScore

(

self

)

Weighted F-Score corresponding to the threshold.

The weighted F-Score is the harmonic mean of the weighted recall and weighted precision.

FScore() [2/2]

eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint.FScore	(		self,
		float	value )

Weighted F-Score corresponding to the threshold.

The weighted F-Score is the harmonic mean of the weighted recall and weighted precision.

Precision() [1/2]

float eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint.Precision

(

self

)

Weighted precision corresponding to the threshold.

The weighted precision is the weighted average of the precision for each label. The precision for a label is the number of correctly predicted element divided by the number of elements predicted for that label (correctly or wrongly).

Precision() [2/2]

eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint.Precision	(		self,
		float	value )

Weighted precision corresponding to the threshold.

The weighted precision is the weighted average of the precision for each label. The precision for a label is the number of correctly predicted element divided by the number of elements predicted for that label (correctly or wrongly).

Recall() [1/2]

float eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint.Recall

(

self

)

Weighted recall corresponding to the threshold.

The weighted recall is the weighted average of the recall for each label. The recall for a label is the number of correctly predicted element divided by the number of ground truth elements of that label.

Recall() [2/2]

eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint.Recall	(		self,
		float	value )

Weighted recall corresponding to the threshold.

The weighted recall is the weighted average of the recall for each label. The recall for a label is the number of correctly predicted element divided by the number of ground truth elements of that label.

Threshold() [1/2]

float eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint.Threshold

(

self

)

Threshold of the metric point.

Threshold() [2/2]

eVision.EasyDeepLearning.EWeightedPrecisionRecallPoint.Threshold	(		self,
		float	value )

Threshold of the metric point.