Reference documentation and code samples for the Cloud AutoML V1beta1 Client class ConfidenceMetricsEntry.
Metrics for a single confidence threshold.
Generated from protobuf message google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry
Namespace
Google \ Cloud \ AutoMl \ V1beta1 \ ClassificationEvaluationMetricsMethods
__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 |
|