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
Namespace
Google \ Cloud \ DocumentAI \ V1 \ EvaluationMethods
__construct
Constructor.
| Parameters | |
|---|---|
| Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ confidence_level_metrics |
array<ConfidenceLevelMetrics>
Metrics across confidence levels with fuzzy matching enabled. |
↳ confidence_level_metrics_exact |
array<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 | |
|---|---|
| Type | Description |
Google\Protobuf\Internal\RepeatedField |
|
setConfidenceLevelMetrics
Metrics across confidence levels with fuzzy matching enabled.
| Parameter | |
|---|---|
| Name | Description |
var |
array<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<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 |
Enum of type MetricsType. |
setMetricsType
The metrics type for the label.
| Parameter | |
|---|---|
| Name | Description |
var |
int
Enum of type MetricsType. |
| Returns | |
|---|---|
| Type | Description |
$this |
|