com.google.cloud.automl.v1

Interface ClassificationEvaluationMetricsOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

ClassificationEvaluationMetrics, ClassificationEvaluationMetrics.Builder

public interface ClassificationEvaluationMetricsOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
String	getAnnotationSpecId(int index) Output only.
com.google.protobuf.ByteString	getAnnotationSpecIdBytes(int index) Output only.
int	getAnnotationSpecIdCount() Output only.
List<String>	getAnnotationSpecIdList() Output only.
float	getAuPrc() Output only.
float	getAuRoc() Output only.
ClassificationEvaluationMetrics.ConfidenceMetricsEntry	getConfidenceMetricsEntry(int index) Output only.
int	getConfidenceMetricsEntryCount() Output only.
List<ClassificationEvaluationMetrics.ConfidenceMetricsEntry>	getConfidenceMetricsEntryList() Output only.
ClassificationEvaluationMetrics.ConfidenceMetricsEntryOrBuilder	getConfidenceMetricsEntryOrBuilder(int index) Output only.
List<? extends ClassificationEvaluationMetrics.ConfidenceMetricsEntryOrBuilder>	getConfidenceMetricsEntryOrBuilderList() Output only.
ClassificationEvaluationMetrics.ConfusionMatrix	getConfusionMatrix() Output only.
ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder	getConfusionMatrixOrBuilder() Output only.
float	getLogLoss() Output only.
boolean	hasConfusionMatrix() Output only.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

getAuPrc

float getAuPrc()

 Output only. The Area Under Precision-Recall Curve metric. Micro-averaged
 for the overall evaluation.
 

float au_prc = 1;

Returns:

The auPrc.

getAuRoc

float getAuRoc()

 Output only. The Area Under Receiver Operating Characteristic curve metric.
 Micro-averaged for the overall evaluation.
 

float au_roc = 6;

Returns:

The auRoc.

getLogLoss

float getLogLoss()

 Output only. The Log Loss metric.
 

float log_loss = 7;

Returns:

The logLoss.

getConfidenceMetricsEntryList

List<ClassificationEvaluationMetrics.ConfidenceMetricsEntry> getConfidenceMetricsEntryList()

 Output only. Metrics for each confidence_threshold in
 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
 position_threshold = INT32_MAX_VALUE.
 ROC and precision-recall curves, and other aggregated metrics are derived
 from them. The confidence metrics entries may also be supplied for
 additional values of position_threshold, but from these no aggregated
 metrics are computed.
 

repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

getConfidenceMetricsEntry

ClassificationEvaluationMetrics.ConfidenceMetricsEntry getConfidenceMetricsEntry(int index)

 Output only. Metrics for each confidence_threshold in
 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
 position_threshold = INT32_MAX_VALUE.
 ROC and precision-recall curves, and other aggregated metrics are derived
 from them. The confidence metrics entries may also be supplied for
 additional values of position_threshold, but from these no aggregated
 metrics are computed.
 

repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

getConfidenceMetricsEntryCount

int getConfidenceMetricsEntryCount()

 Output only. Metrics for each confidence_threshold in
 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
 position_threshold = INT32_MAX_VALUE.
 ROC and precision-recall curves, and other aggregated metrics are derived
 from them. The confidence metrics entries may also be supplied for
 additional values of position_threshold, but from these no aggregated
 metrics are computed.
 

repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

getConfidenceMetricsEntryOrBuilderList

List<? extends ClassificationEvaluationMetrics.ConfidenceMetricsEntryOrBuilder> getConfidenceMetricsEntryOrBuilderList()

 Output only. Metrics for each confidence_threshold in
 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
 position_threshold = INT32_MAX_VALUE.
 ROC and precision-recall curves, and other aggregated metrics are derived
 from them. The confidence metrics entries may also be supplied for
 additional values of position_threshold, but from these no aggregated
 metrics are computed.
 

repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

getConfidenceMetricsEntryOrBuilder

ClassificationEvaluationMetrics.ConfidenceMetricsEntryOrBuilder getConfidenceMetricsEntryOrBuilder(int index)

 Output only. Metrics for each confidence_threshold in
 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
 position_threshold = INT32_MAX_VALUE.
 ROC and precision-recall curves, and other aggregated metrics are derived
 from them. The confidence metrics entries may also be supplied for
 additional values of position_threshold, but from these no aggregated
 metrics are computed.
 

repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

hasConfusionMatrix

boolean hasConfusionMatrix()

 Output only. Confusion matrix of the evaluation.
 Only set for MULTICLASS classification problems where number
 of labels is no more than 10.
 Only set for model level evaluation, not for evaluation per label.
 

.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;

Returns:

Whether the confusionMatrix field is set.

getConfusionMatrix

ClassificationEvaluationMetrics.ConfusionMatrix getConfusionMatrix()

 Output only. Confusion matrix of the evaluation.
 Only set for MULTICLASS classification problems where number
 of labels is no more than 10.
 Only set for model level evaluation, not for evaluation per label.
 

.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;

Returns:

The confusionMatrix.

getConfusionMatrixOrBuilder

ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder getConfusionMatrixOrBuilder()

 Output only. Confusion matrix of the evaluation.
 Only set for MULTICLASS classification problems where number
 of labels is no more than 10.
 Only set for model level evaluation, not for evaluation per label.
 

.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;

getAnnotationSpecIdList

List<String> getAnnotationSpecIdList()

 Output only. The annotation spec ids used for this evaluation.
 

repeated string annotation_spec_id = 5;

Returns:

A list containing the annotationSpecId.

getAnnotationSpecIdCount

int getAnnotationSpecIdCount()

 Output only. The annotation spec ids used for this evaluation.
 

repeated string annotation_spec_id = 5;

Returns:

The count of annotationSpecId.

getAnnotationSpecId

String getAnnotationSpecId(int index)

 Output only. The annotation spec ids used for this evaluation.
 

repeated string annotation_spec_id = 5;

Parameters:

index - The index of the element to return.

Returns:

The annotationSpecId at the given index.

getAnnotationSpecIdBytes

com.google.protobuf.ByteString getAnnotationSpecIdBytes(int index)

 Output only. The annotation spec ids used for this evaluation.
 

repeated string annotation_spec_id = 5;

Parameters:

index - The index of the value to return.

Returns:

The bytes of the annotationSpecId at the given index.