Cloud AutoML V1 Client - Class ConfidenceMetricsEntry (1.6.4)

Reference documentation and code samples for the Cloud AutoML V1 Client class ConfidenceMetricsEntry.

Metrics for a single confidence threshold.

Generated from protobuf message google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry

Namespace

Google \ Cloud \ AutoMl \ V1 \ ClassificationEvaluationMetrics

Methods

__construct

Constructor.

Parameters
Name Description
data array

Optional. Data for populating the Message object.
↳ confidence_threshold float

Output only. Metrics are computed with an assumption that the model never returns predictions with score lower than this value.
↳ position_threshold int

Output only. Metrics are computed with an assumption that the model always returns at most this many predictions (ordered by their score, descendingly), but they all still need to meet the confidence_threshold.
↳ recall float

Output only. Recall (True Positive Rate) for the given confidence threshold.
↳ precision float

Output only. Precision for the given confidence threshold.
↳ false_positive_rate float

Output only. False Positive Rate for the given confidence threshold.
↳ f1_score float

Output only. The harmonic mean of recall and precision.
↳ recall_at1 float

Output only. The Recall (True Positive Rate) when only considering the label that has the highest prediction score and not below the confidence threshold for each example.
↳ precision_at1 float

Output only. The precision when only considering the label that has the highest prediction score and not below the confidence threshold for each example.
↳ false_positive_rate_at1 float

Output only. The False Positive Rate when only considering the label that has the highest prediction score and not below the confidence threshold for each example.
↳ f1_score_at1 float

Output only. The harmonic mean of recall_at1 and precision_at1.
↳ true_positive_count int|string

Output only. The number of model created labels that match a ground truth label.
↳ false_positive_count int|string

Output only. The number of model created labels that do not match a ground truth label.
↳ false_negative_count int|string

Output only. The number of ground truth labels that are not matched by a model created label.
↳ true_negative_count int|string

Output only. The number of labels that were not created by the model, but if they would, they would not match a ground truth label.

getConfidenceThreshold

Output only. Metrics are computed with an assumption that the model never returns predictions with score lower than this value.

Returns
Type Description
float

setConfidenceThreshold

Output only. Metrics are computed with an assumption that the model never returns predictions with score lower than this value.

Parameter
Name Description
var float
Returns
Type Description
$this

getPositionThreshold

Output only. Metrics are computed with an assumption that the model always returns at most this many predictions (ordered by their score, descendingly), but they all still need to meet the confidence_threshold.

Returns
Type Description
int

setPositionThreshold

Output only. Metrics are computed with an assumption that the model always returns at most this many predictions (ordered by their score, descendingly), but they all still need to meet the confidence_threshold.

Parameter
Name Description
var int
Returns
Type Description
$this

getRecall

Output only. Recall (True Positive Rate) for the given confidence threshold.

Returns
Type Description
float

setRecall

Output only. Recall (True Positive Rate) for the given confidence threshold.

Parameter
Name Description
var float
Returns
Type Description
$this

getPrecision

Output only. Precision for the given confidence threshold.

Returns
Type Description
float

setPrecision

Output only. Precision for the given confidence threshold.

Parameter
Name Description
var float
Returns
Type Description
$this

getFalsePositiveRate

Output only. False Positive Rate for the given confidence threshold.

Returns
Type Description
float

setFalsePositiveRate

Output only. False Positive Rate for the given confidence threshold.

Parameter
Name Description
var float
Returns
Type Description
$this

getF1Score

Output only. The harmonic mean of recall and precision.

Returns
Type Description
float

setF1Score

Output only. The harmonic mean of recall and precision.

Parameter
Name Description
var float
Returns
Type Description
$this

getRecallAt1

Output only. The Recall (True Positive Rate) when only considering the label that has the highest prediction score and not below the confidence threshold for each example.

Returns
Type Description
float

setRecallAt1

Output only. The Recall (True Positive Rate) when only considering the label that has the highest prediction score and not below the confidence threshold for each example.

Parameter
Name Description
var float
Returns
Type Description
$this

getPrecisionAt1

Output only. The precision when only considering the label that has the highest prediction score and not below the confidence threshold for each example.

Returns
Type Description
float

setPrecisionAt1

Output only. The precision when only considering the label that has the highest prediction score and not below the confidence threshold for each example.

Parameter
Name Description
var float
Returns
Type Description
$this

getFalsePositiveRateAt1

Output only. The False Positive Rate when only considering the label that has the highest prediction score and not below the confidence threshold for each example.

Returns
Type Description
float

setFalsePositiveRateAt1

Output only. The False Positive Rate when only considering the label that has the highest prediction score and not below the confidence threshold for each example.

Parameter
Name Description
var float
Returns
Type Description
$this

getF1ScoreAt1

Output only. The harmonic mean of recall_at1 and precision_at1.

Returns
Type Description
float

setF1ScoreAt1

Output only. The harmonic mean of recall_at1 and precision_at1.

Parameter
Name Description
var float
Returns
Type Description
$this

getTruePositiveCount

Output only. The number of model created labels that match a ground truth label.

Returns
Type Description
int|string

setTruePositiveCount

Output only. The number of model created labels that match a ground truth label.

Parameter
Name Description
var int|string
Returns
Type Description
$this

getFalsePositiveCount

Output only. The number of model created labels that do not match a ground truth label.

Returns
Type Description
int|string

setFalsePositiveCount

Output only. The number of model created labels that do not match a ground truth label.

Parameter
Name Description
var int|string
Returns
Type Description
$this

getFalseNegativeCount

Output only. The number of ground truth labels that are not matched by a model created label.

Returns
Type Description
int|string

setFalseNegativeCount

Output only. The number of ground truth labels that are not matched by a model created label.

Parameter
Name Description
var int|string
Returns
Type Description
$this

getTrueNegativeCount

Output only. The number of labels that were not created by the model, but if they would, they would not match a ground truth label.

Returns
Type Description
int|string

setTrueNegativeCount

Output only. The number of labels that were not created by the model, but if they would, they would not match a ground truth label.

Parameter
Name Description
var int|string
Returns
Type Description
$this