Reference documentation and code samples for the Google Cloud Document Ai V1 Client class MultiConfidenceMetrics.
Metrics across multiple confidence levels.
Generated from protobuf message google.cloud.documentai.v1.Evaluation.MultiConfidenceMetrics
Methods
__construct
Constructor.
Parameters | |
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Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ confidence_level_metrics |
array<Google\Cloud\DocumentAI\V1\Evaluation\ConfidenceLevelMetrics>
Metrics across confidence levels with fuzzy matching enabled. |
↳ confidence_level_metrics_exact |
array<Google\Cloud\DocumentAI\V1\Evaluation\ConfidenceLevelMetrics>
Metrics across confidence levels with only exact matching. |
↳ auprc |
float
The calculated area under the precision recall curve (AUPRC), computed by integrating over all confidence thresholds. |
↳ estimated_calibration_error |
float
The Estimated Calibration Error (ECE) of the confidence of the predicted entities. |
↳ auprc_exact |
float
The AUPRC for metrics with fuzzy matching disabled, i.e., exact matching only. |
↳ estimated_calibration_error_exact |
float
The ECE for the predicted entities with fuzzy matching disabled, i.e., exact matching only. |
↳ metrics_type |
int
The metrics type for the label. |
getConfidenceLevelMetrics
Metrics across confidence levels with fuzzy matching enabled.
Returns | |
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Type | Description |
Google\Protobuf\Internal\RepeatedField |
setConfidenceLevelMetrics
Metrics across confidence levels with fuzzy matching enabled.
Parameter | |
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Name | Description |
var |
array<Google\Cloud\DocumentAI\V1\Evaluation\ConfidenceLevelMetrics>
|
Returns | |
---|---|
Type | Description |
$this |
getConfidenceLevelMetricsExact
Metrics across confidence levels with only exact matching.
Returns | |
---|---|
Type | Description |
Google\Protobuf\Internal\RepeatedField |
setConfidenceLevelMetricsExact
Metrics across confidence levels with only exact matching.
Parameter | |
---|---|
Name | Description |
var |
array<Google\Cloud\DocumentAI\V1\Evaluation\ConfidenceLevelMetrics>
|
Returns | |
---|---|
Type | Description |
$this |
getAuprc
The calculated area under the precision recall curve (AUPRC), computed by integrating over all confidence thresholds.
Returns | |
---|---|
Type | Description |
float |
setAuprc
The calculated area under the precision recall curve (AUPRC), computed by integrating over all confidence thresholds.
Parameter | |
---|---|
Name | Description |
var |
float
|
Returns | |
---|---|
Type | Description |
$this |
getEstimatedCalibrationError
The Estimated Calibration Error (ECE) of the confidence of the predicted entities.
Returns | |
---|---|
Type | Description |
float |
setEstimatedCalibrationError
The Estimated Calibration Error (ECE) of the confidence of the predicted entities.
Parameter | |
---|---|
Name | Description |
var |
float
|
Returns | |
---|---|
Type | Description |
$this |
getAuprcExact
The AUPRC for metrics with fuzzy matching disabled, i.e., exact matching only.
Returns | |
---|---|
Type | Description |
float |
setAuprcExact
The AUPRC for metrics with fuzzy matching disabled, i.e., exact matching only.
Parameter | |
---|---|
Name | Description |
var |
float
|
Returns | |
---|---|
Type | Description |
$this |
getEstimatedCalibrationErrorExact
The ECE for the predicted entities with fuzzy matching disabled, i.e., exact matching only.
Returns | |
---|---|
Type | Description |
float |
setEstimatedCalibrationErrorExact
The ECE for the predicted entities with fuzzy matching disabled, i.e., exact matching only.
Parameter | |
---|---|
Name | Description |
var |
float
|
Returns | |
---|---|
Type | Description |
$this |
getMetricsType
The metrics type for the label.
Returns | |
---|---|
Type | Description |
int |
setMetricsType
The metrics type for the label.
Parameter | |
---|---|
Name | Description |
var |
int
|
Returns | |
---|---|
Type | Description |
$this |