Package com.google.cloud.automl.v1beta1

Class ClassificationProto.ClassificationEvaluationMetrics.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

com.google.protobuf.AbstractMessage.Builder<BuilderT>

com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.Builder>

com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics.Builder

All Implemented Interfaces:

ClassificationProto.ClassificationEvaluationMetricsOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable

Enclosing class:

ClassificationProto.ClassificationEvaluationMetrics

public static final class ClassificationProto.ClassificationEvaluationMetrics.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.Builder>
implements ClassificationProto.ClassificationEvaluationMetricsOrBuilder

 Model evaluation metrics for classification problems.
 Note: For Video Classification this metrics only describe quality of the
 Video Classification predictions of "segment_classification" type.
 

Protobuf type google.cloud.automl.v1beta1.ClassificationEvaluationMetrics

Method Summary

Modifier and Type	Method	Description
ClassificationProto.ClassificationEvaluationMetrics.Builder	addAllAnnotationSpecId(Iterable<String> values)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	addAllConfidenceMetricsEntry(Iterable<? extends ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry> values)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	addAnnotationSpecId(String value)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	addAnnotationSpecIdBytes(com.google.protobuf.ByteString value)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	addConfidenceMetricsEntry(int index, ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry value)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	addConfidenceMetricsEntry(int index, ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder builderForValue)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	addConfidenceMetricsEntry(ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry value)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	addConfidenceMetricsEntry(ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder builderForValue)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder	addConfidenceMetricsEntryBuilder()	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder	addConfidenceMetricsEntryBuilder(int index)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
ClassificationProto.ClassificationEvaluationMetrics	build()
ClassificationProto.ClassificationEvaluationMetrics	buildPartial()
ClassificationProto.ClassificationEvaluationMetrics.Builder	clear()
ClassificationProto.ClassificationEvaluationMetrics.Builder	clearAnnotationSpecId()	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	clearAuPrc()	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	clearAuRoc()	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	clearBaseAuPrc()	Deprecated. google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.base_au_prc is deprecated.
ClassificationProto.ClassificationEvaluationMetrics.Builder	clearConfidenceMetricsEntry()	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	clearConfusionMatrix()	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
ClassificationProto.ClassificationEvaluationMetrics.Builder	clearLogLoss()	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
ClassificationProto.ClassificationEvaluationMetrics.Builder	clone()
String	getAnnotationSpecId(int index)	Output only.
com.google.protobuf.ByteString	getAnnotationSpecIdBytes(int index)	Output only.
int	getAnnotationSpecIdCount()	Output only.
com.google.protobuf.ProtocolStringList	getAnnotationSpecIdList()	Output only.
float	getAuPrc()	Output only.
float	getAuRoc()	Output only.
float	getBaseAuPrc()	Deprecated. google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.base_au_prc is deprecated.
ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry	getConfidenceMetricsEntry(int index)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder	getConfidenceMetricsEntryBuilder(int index)	Output only.
List<ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder>	getConfidenceMetricsEntryBuilderList()	Output only.
int	getConfidenceMetricsEntryCount()	Output only.
List<ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry>	getConfidenceMetricsEntryList()	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntryOrBuilder	getConfidenceMetricsEntryOrBuilder(int index)	Output only.
List<? extends ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntryOrBuilder>	getConfidenceMetricsEntryOrBuilderList()	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix	getConfusionMatrix()	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	getConfusionMatrixBuilder()	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder	getConfusionMatrixOrBuilder()	Output only.
ClassificationProto.ClassificationEvaluationMetrics	getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType()
float	getLogLoss()	Output only.
boolean	hasConfusionMatrix()	Output only.
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
ClassificationProto.ClassificationEvaluationMetrics.Builder	mergeConfusionMatrix(ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix value)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	mergeFrom(ClassificationProto.ClassificationEvaluationMetrics other)
ClassificationProto.ClassificationEvaluationMetrics.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ClassificationProto.ClassificationEvaluationMetrics.Builder	mergeFrom(com.google.protobuf.Message other)
ClassificationProto.ClassificationEvaluationMetrics.Builder	mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
ClassificationProto.ClassificationEvaluationMetrics.Builder	removeConfidenceMetricsEntry(int index)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	setAnnotationSpecId(int index, String value)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	setAuPrc(float value)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	setAuRoc(float value)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	setBaseAuPrc(float value)	Deprecated. google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.base_au_prc is deprecated.
ClassificationProto.ClassificationEvaluationMetrics.Builder	setConfidenceMetricsEntry(int index, ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry value)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	setConfidenceMetricsEntry(int index, ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder builderForValue)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	setConfusionMatrix(ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix value)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	setConfusionMatrix(ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder builderForValue)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
ClassificationProto.ClassificationEvaluationMetrics.Builder	setLogLoss(float value)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.Builder	setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
ClassificationProto.ClassificationEvaluationMetrics.Builder	setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Methods inherited from class com.google.protobuf.GeneratedMessageV3.Builder

getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3

Methods inherited from class com.google.protobuf.AbstractMessage.Builder

findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder

addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.Message.Builder

mergeDelimitedFrom, mergeDelimitedFrom

Methods inherited from interface com.google.protobuf.MessageLite.Builder

mergeFrom

Methods inherited from interface com.google.protobuf.MessageOrBuilder

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

Method Detail

getDescriptor

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable

protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.Builder>

clear

public ClassificationProto.ClassificationEvaluationMetrics.Builder clear()

Specified by:

clear in interface com.google.protobuf.Message.Builder

Specified by:

clear in interface com.google.protobuf.MessageLite.Builder

Overrides:

clear in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.Builder>

getDescriptorForType

public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()

Specified by:

getDescriptorForType in interface com.google.protobuf.Message.Builder

Specified by:

getDescriptorForType in interface com.google.protobuf.MessageOrBuilder

Overrides:

getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.Builder>

getDefaultInstanceForType

public ClassificationProto.ClassificationEvaluationMetrics getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build

public ClassificationProto.ClassificationEvaluationMetrics build()

Specified by:

build in interface com.google.protobuf.Message.Builder

Specified by:

build in interface com.google.protobuf.MessageLite.Builder

buildPartial

public ClassificationProto.ClassificationEvaluationMetrics buildPartial()

Specified by:

buildPartial in interface com.google.protobuf.Message.Builder

Specified by:

buildPartial in interface com.google.protobuf.MessageLite.Builder

clone

public ClassificationProto.ClassificationEvaluationMetrics.Builder clone()

Specified by:

clone in interface com.google.protobuf.Message.Builder

Specified by:

clone in interface com.google.protobuf.MessageLite.Builder

Overrides:

clone in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.Builder>

setField

public ClassificationProto.ClassificationEvaluationMetrics.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                                            Object value)

Specified by:

setField in interface com.google.protobuf.Message.Builder

Overrides:

setField in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.Builder>

clearField

public ClassificationProto.ClassificationEvaluationMetrics.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)

Specified by:

clearField in interface com.google.protobuf.Message.Builder

Overrides:

clearField in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.Builder>

clearOneof

public ClassificationProto.ClassificationEvaluationMetrics.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)

Specified by:

clearOneof in interface com.google.protobuf.Message.Builder

Overrides:

clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.Builder>

setRepeatedField

public ClassificationProto.ClassificationEvaluationMetrics.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                                                    int index,
                                                                                    Object value)

Specified by:

setRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.Builder>

addRepeatedField

public ClassificationProto.ClassificationEvaluationMetrics.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                                                    Object value)

Specified by:

addRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.Builder>

mergeFrom

public ClassificationProto.ClassificationEvaluationMetrics.Builder mergeFrom(com.google.protobuf.Message other)

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ClassificationProto.ClassificationEvaluationMetrics.Builder>

mergeFrom

public ClassificationProto.ClassificationEvaluationMetrics.Builder mergeFrom(ClassificationProto.ClassificationEvaluationMetrics other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.Builder>

mergeFrom

public ClassificationProto.ClassificationEvaluationMetrics.Builder mergeFrom(com.google.protobuf.CodedInputStream input,
                                                                             com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                                      throws IOException

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Specified by:

mergeFrom in interface com.google.protobuf.MessageLite.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ClassificationProto.ClassificationEvaluationMetrics.Builder>

Throws:

IOException

getAuPrc

public float getAuPrc()

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

float au_prc = 1;

Specified by:

getAuPrc in interface ClassificationProto.ClassificationEvaluationMetricsOrBuilder

Returns:

The auPrc.

setAuPrc

public ClassificationProto.ClassificationEvaluationMetrics.Builder setAuPrc(float value)

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

float au_prc = 1;

Parameters:

value - The auPrc to set.

Returns:

This builder for chaining.

clearAuPrc

public ClassificationProto.ClassificationEvaluationMetrics.Builder clearAuPrc()

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

float au_prc = 1;

Returns:

This builder for chaining.

getBaseAuPrc

@Deprecated
public float getBaseAuPrc()

Deprecated.

google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.base_au_prc is deprecated. See google/cloud/automl/v1beta1/classification.proto;l=188

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

float base_au_prc = 2 [deprecated = true];

Specified by:

getBaseAuPrc in interface ClassificationProto.ClassificationEvaluationMetricsOrBuilder

Returns:

The baseAuPrc.

setBaseAuPrc

@Deprecated
public ClassificationProto.ClassificationEvaluationMetrics.Builder setBaseAuPrc(float value)

Deprecated.

google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.base_au_prc is deprecated. See google/cloud/automl/v1beta1/classification.proto;l=188

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

float base_au_prc = 2 [deprecated = true];

Parameters:

value - The baseAuPrc to set.

Returns:

This builder for chaining.

clearBaseAuPrc

@Deprecated
public ClassificationProto.ClassificationEvaluationMetrics.Builder clearBaseAuPrc()

Deprecated.

google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.base_au_prc is deprecated. See google/cloud/automl/v1beta1/classification.proto;l=188

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

float base_au_prc = 2 [deprecated = true];

Returns:

This builder for chaining.

getAuRoc

public float getAuRoc()

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

float au_roc = 6;

Specified by:

getAuRoc in interface ClassificationProto.ClassificationEvaluationMetricsOrBuilder

Returns:

The auRoc.

setAuRoc

public ClassificationProto.ClassificationEvaluationMetrics.Builder setAuRoc(float value)

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

float au_roc = 6;

Parameters:

value - The auRoc to set.

Returns:

This builder for chaining.

clearAuRoc

public ClassificationProto.ClassificationEvaluationMetrics.Builder clearAuRoc()

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

float au_roc = 6;

Returns:

This builder for chaining.

getLogLoss

public float getLogLoss()

 Output only. The Log Loss metric.
 

float log_loss = 7;

Specified by:

getLogLoss in interface ClassificationProto.ClassificationEvaluationMetricsOrBuilder

Returns:

The logLoss.

setLogLoss

public ClassificationProto.ClassificationEvaluationMetrics.Builder setLogLoss(float value)

 Output only. The Log Loss metric.
 

float log_loss = 7;

Parameters:

value - The logLoss to set.

Returns:

This builder for chaining.

clearLogLoss

public ClassificationProto.ClassificationEvaluationMetrics.Builder clearLogLoss()

 Output only. The Log Loss metric.
 

float log_loss = 7;

Returns:

This builder for chaining.

getConfidenceMetricsEntryList

public List<ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

Specified by:

getConfidenceMetricsEntryList in interface ClassificationProto.ClassificationEvaluationMetricsOrBuilder

getConfidenceMetricsEntryCount

public 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.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

Specified by:

getConfidenceMetricsEntryCount in interface ClassificationProto.ClassificationEvaluationMetricsOrBuilder

getConfidenceMetricsEntry

public ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

Specified by:

getConfidenceMetricsEntry in interface ClassificationProto.ClassificationEvaluationMetricsOrBuilder

setConfidenceMetricsEntry

public ClassificationProto.ClassificationEvaluationMetrics.Builder setConfidenceMetricsEntry(int index,
                                                                                             ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry value)

 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.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

setConfidenceMetricsEntry

public ClassificationProto.ClassificationEvaluationMetrics.Builder setConfidenceMetricsEntry(int index,
                                                                                             ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder builderForValue)

 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.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

addConfidenceMetricsEntry

public ClassificationProto.ClassificationEvaluationMetrics.Builder addConfidenceMetricsEntry(ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry value)

 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.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

addConfidenceMetricsEntry

public ClassificationProto.ClassificationEvaluationMetrics.Builder addConfidenceMetricsEntry(int index,
                                                                                             ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry value)

 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.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

addConfidenceMetricsEntry

public ClassificationProto.ClassificationEvaluationMetrics.Builder addConfidenceMetricsEntry(ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder builderForValue)

 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.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

addConfidenceMetricsEntry

public ClassificationProto.ClassificationEvaluationMetrics.Builder addConfidenceMetricsEntry(int index,
                                                                                             ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder builderForValue)

 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.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

addAllConfidenceMetricsEntry

public ClassificationProto.ClassificationEvaluationMetrics.Builder addAllConfidenceMetricsEntry(Iterable<? extends ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry> values)

 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.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

clearConfidenceMetricsEntry

public ClassificationProto.ClassificationEvaluationMetrics.Builder clearConfidenceMetricsEntry()

 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.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

removeConfidenceMetricsEntry

public ClassificationProto.ClassificationEvaluationMetrics.Builder removeConfidenceMetricsEntry(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.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

getConfidenceMetricsEntryBuilder

public ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder getConfidenceMetricsEntryBuilder(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.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

getConfidenceMetricsEntryOrBuilder

public ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

Specified by:

getConfidenceMetricsEntryOrBuilder in interface ClassificationProto.ClassificationEvaluationMetricsOrBuilder

getConfidenceMetricsEntryOrBuilderList

public List<? extends ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

Specified by:

getConfidenceMetricsEntryOrBuilderList in interface ClassificationProto.ClassificationEvaluationMetricsOrBuilder

addConfidenceMetricsEntryBuilder

public ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder addConfidenceMetricsEntryBuilder()

 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.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

addConfidenceMetricsEntryBuilder

public ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder addConfidenceMetricsEntryBuilder(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.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

getConfidenceMetricsEntryBuilderList

public List<ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder> getConfidenceMetricsEntryBuilderList()

 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.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;

hasConfusionMatrix

public 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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;

Specified by:

hasConfusionMatrix in interface ClassificationProto.ClassificationEvaluationMetricsOrBuilder

Returns:

Whether the confusionMatrix field is set.

getConfusionMatrix

public ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;

Specified by:

getConfusionMatrix in interface ClassificationProto.ClassificationEvaluationMetricsOrBuilder

Returns:

The confusionMatrix.

setConfusionMatrix

public ClassificationProto.ClassificationEvaluationMetrics.Builder setConfusionMatrix(ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix value)

 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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;

setConfusionMatrix

public ClassificationProto.ClassificationEvaluationMetrics.Builder setConfusionMatrix(ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder builderForValue)

 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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;

mergeConfusionMatrix

public ClassificationProto.ClassificationEvaluationMetrics.Builder mergeConfusionMatrix(ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix value)

 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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;

clearConfusionMatrix

public ClassificationProto.ClassificationEvaluationMetrics.Builder clearConfusionMatrix()

 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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;

getConfusionMatrixBuilder

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder getConfusionMatrixBuilder()

 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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;

getConfusionMatrixOrBuilder

public ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;

Specified by:

getConfusionMatrixOrBuilder in interface ClassificationProto.ClassificationEvaluationMetricsOrBuilder

getAnnotationSpecIdList

public com.google.protobuf.ProtocolStringList getAnnotationSpecIdList()

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

repeated string annotation_spec_id = 5;

Specified by:

getAnnotationSpecIdList in interface ClassificationProto.ClassificationEvaluationMetricsOrBuilder

Returns:

A list containing the annotationSpecId.

getAnnotationSpecIdCount

public int getAnnotationSpecIdCount()

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

repeated string annotation_spec_id = 5;

Specified by:

getAnnotationSpecIdCount in interface ClassificationProto.ClassificationEvaluationMetricsOrBuilder

Returns:

The count of annotationSpecId.

getAnnotationSpecId

public String getAnnotationSpecId(int index)

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

repeated string annotation_spec_id = 5;

Specified by:

getAnnotationSpecId in interface ClassificationProto.ClassificationEvaluationMetricsOrBuilder

Parameters:

index - The index of the element to return.

Returns:

The annotationSpecId at the given index.

getAnnotationSpecIdBytes

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

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

repeated string annotation_spec_id = 5;

Specified by:

getAnnotationSpecIdBytes in interface ClassificationProto.ClassificationEvaluationMetricsOrBuilder

Parameters:

index - The index of the value to return.

Returns:

The bytes of the annotationSpecId at the given index.

setAnnotationSpecId

public ClassificationProto.ClassificationEvaluationMetrics.Builder setAnnotationSpecId(int index,
                                                                                       String value)

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

repeated string annotation_spec_id = 5;

Parameters:

index - The index to set the value at.

value - The annotationSpecId to set.

Returns:

This builder for chaining.

addAnnotationSpecId

public ClassificationProto.ClassificationEvaluationMetrics.Builder addAnnotationSpecId(String value)

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

repeated string annotation_spec_id = 5;

Parameters:

value - The annotationSpecId to add.

Returns:

This builder for chaining.

addAllAnnotationSpecId

public ClassificationProto.ClassificationEvaluationMetrics.Builder addAllAnnotationSpecId(Iterable<String> values)

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

repeated string annotation_spec_id = 5;

Parameters:

values - The annotationSpecId to add.

Returns:

This builder for chaining.

clearAnnotationSpecId

public ClassificationProto.ClassificationEvaluationMetrics.Builder clearAnnotationSpecId()

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

repeated string annotation_spec_id = 5;

Returns:

This builder for chaining.

addAnnotationSpecIdBytes

public ClassificationProto.ClassificationEvaluationMetrics.Builder addAnnotationSpecIdBytes(com.google.protobuf.ByteString value)

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

repeated string annotation_spec_id = 5;

Parameters:

value - The bytes of the annotationSpecId to add.

Returns:

This builder for chaining.

setUnknownFields

public final ClassificationProto.ClassificationEvaluationMetrics.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

setUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.Builder>

mergeUnknownFields

public final ClassificationProto.ClassificationEvaluationMetrics.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

mergeUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.Builder>