Interface Evaluation.MultiConfidenceMetricsOrBuilder (2.46.0)

Version 2.46.0

• 2.57.0 (latest)
• 2.56.0
• 2.55.0
• 2.53.0
• 2.52.0
• 2.51.0
• 2.50.0
• 2.49.0
• 2.48.0
• 2.47.0
• 2.46.0
• 2.45.0
• 2.44.0
• 2.43.0
• 2.41.0
• 2.40.0
• 2.39.0
• 2.38.0
• 2.37.0
• 2.36.0
• 2.35.0
• 2.34.0
• 2.33.0
• 2.32.0
• 2.31.0
• 2.28.0
• 2.27.0
• 2.26.0
• 2.25.0
• 2.24.0
• 2.23.0
• 2.22.0
• 2.21.0
• 2.20.0
• 2.19.0
• 2.18.0
• 2.17.0
• 2.16.0
• 2.15.0
• 2.13.0
• 2.12.0
• 2.11.0
• 2.10.0
• 2.9.0
• 2.8.0
• 2.7.5
• 2.6.2
• 2.5.1
• 2.4.3
• 2.3.1
• 2.2.1
• 2.1.9

public static interface Evaluation.MultiConfidenceMetricsOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getAuprc()

public abstract float getAuprc()

The calculated area under the precision recall curve (AUPRC), computed by integrating over all confidence thresholds.

float auprc = 2;

Returns
Type	Description
float	The auprc.

getAuprcExact()

public abstract float getAuprcExact()

The AUPRC for metrics with fuzzy matching disabled, i.e., exact matching only.

float auprc_exact = 5;

Returns
Type	Description
float	The auprcExact.

getConfidenceLevelMetrics(int index)

public abstract Evaluation.ConfidenceLevelMetrics getConfidenceLevelMetrics(int index)

Metrics across confidence levels with fuzzy matching enabled.

repeated .google.cloud.documentai.v1beta3.Evaluation.ConfidenceLevelMetrics confidence_level_metrics = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
Evaluation.ConfidenceLevelMetrics

getConfidenceLevelMetricsCount()

public abstract int getConfidenceLevelMetricsCount()

Metrics across confidence levels with fuzzy matching enabled.

repeated .google.cloud.documentai.v1beta3.Evaluation.ConfidenceLevelMetrics confidence_level_metrics = 1;

Returns
Type	Description
int

getConfidenceLevelMetricsExact(int index)

public abstract Evaluation.ConfidenceLevelMetrics getConfidenceLevelMetricsExact(int index)

Metrics across confidence levels with only exact matching.

repeated .google.cloud.documentai.v1beta3.Evaluation.ConfidenceLevelMetrics confidence_level_metrics_exact = 4;

Parameter
Name	Description
index	int

Returns
Type	Description
Evaluation.ConfidenceLevelMetrics

getConfidenceLevelMetricsExactCount()

public abstract int getConfidenceLevelMetricsExactCount()

Metrics across confidence levels with only exact matching.

repeated .google.cloud.documentai.v1beta3.Evaluation.ConfidenceLevelMetrics confidence_level_metrics_exact = 4;

Returns
Type	Description
int

getConfidenceLevelMetricsExactList()

public abstract List<Evaluation.ConfidenceLevelMetrics> getConfidenceLevelMetricsExactList()

Metrics across confidence levels with only exact matching.

repeated .google.cloud.documentai.v1beta3.Evaluation.ConfidenceLevelMetrics confidence_level_metrics_exact = 4;

Returns
Type	Description
List<ConfidenceLevelMetrics>

getConfidenceLevelMetricsExactOrBuilder(int index)

public abstract Evaluation.ConfidenceLevelMetricsOrBuilder getConfidenceLevelMetricsExactOrBuilder(int index)

Metrics across confidence levels with only exact matching.

repeated .google.cloud.documentai.v1beta3.Evaluation.ConfidenceLevelMetrics confidence_level_metrics_exact = 4;

Parameter
Name	Description
index	int

Returns
Type	Description
Evaluation.ConfidenceLevelMetricsOrBuilder

getConfidenceLevelMetricsExactOrBuilderList()

public abstract List<? extends Evaluation.ConfidenceLevelMetricsOrBuilder> getConfidenceLevelMetricsExactOrBuilderList()

Metrics across confidence levels with only exact matching.

repeated .google.cloud.documentai.v1beta3.Evaluation.ConfidenceLevelMetrics confidence_level_metrics_exact = 4;

Returns
Type	Description
List<? extends com.google.cloud.documentai.v1beta3.Evaluation.ConfidenceLevelMetricsOrBuilder>

getConfidenceLevelMetricsList()

public abstract List<Evaluation.ConfidenceLevelMetrics> getConfidenceLevelMetricsList()

Metrics across confidence levels with fuzzy matching enabled.

repeated .google.cloud.documentai.v1beta3.Evaluation.ConfidenceLevelMetrics confidence_level_metrics = 1;

Returns
Type	Description
List<ConfidenceLevelMetrics>

getConfidenceLevelMetricsOrBuilder(int index)

public abstract Evaluation.ConfidenceLevelMetricsOrBuilder getConfidenceLevelMetricsOrBuilder(int index)

Metrics across confidence levels with fuzzy matching enabled.

repeated .google.cloud.documentai.v1beta3.Evaluation.ConfidenceLevelMetrics confidence_level_metrics = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
Evaluation.ConfidenceLevelMetricsOrBuilder

getConfidenceLevelMetricsOrBuilderList()

public abstract List<? extends Evaluation.ConfidenceLevelMetricsOrBuilder> getConfidenceLevelMetricsOrBuilderList()

Metrics across confidence levels with fuzzy matching enabled.

repeated .google.cloud.documentai.v1beta3.Evaluation.ConfidenceLevelMetrics confidence_level_metrics = 1;

Returns
Type	Description
List<? extends com.google.cloud.documentai.v1beta3.Evaluation.ConfidenceLevelMetricsOrBuilder>

getEstimatedCalibrationError()

public abstract float getEstimatedCalibrationError()

The Estimated Calibration Error (ECE) of the confidence of the predicted entities.

float estimated_calibration_error = 3;

Returns
Type	Description
float	The estimatedCalibrationError.

getEstimatedCalibrationErrorExact()

public abstract float getEstimatedCalibrationErrorExact()

The ECE for the predicted entities with fuzzy matching disabled, i.e., exact matching only.

float estimated_calibration_error_exact = 6;

Returns
Type	Description
float	The estimatedCalibrationErrorExact.

getMetricsType()

public abstract Evaluation.MultiConfidenceMetrics.MetricsType getMetricsType()

The metrics type for the label.

.google.cloud.documentai.v1beta3.Evaluation.MultiConfidenceMetrics.MetricsType metrics_type = 7;

Returns
Type	Description
Evaluation.MultiConfidenceMetrics.MetricsType	The metricsType.

getMetricsTypeValue()

public abstract int getMetricsTypeValue()

The metrics type for the label.

.google.cloud.documentai.v1beta3.Evaluation.MultiConfidenceMetrics.MetricsType metrics_type = 7;

Returns
Type	Description
int	The enum numeric value on the wire for metricsType.