Class ClassificationProto.ClassificationEvaluationMetrics (2.10.0)

Version 2.10.0

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public static final class ClassificationProto.ClassificationEvaluationMetrics extends GeneratedMessageV3 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

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > ClassificationProto.ClassificationEvaluationMetrics

Implements

ClassificationProto.ClassificationEvaluationMetricsOrBuilder

Inherited Members

AbstractMessage.equals(Object)

AbstractMessage.findInitializationErrors()

AbstractMessage.getInitializationErrorString()

AbstractMessage.hashBoolean(boolean)

AbstractMessage.hashCode()

AbstractMessage.hashEnum(Internal.EnumLite)

AbstractMessage.hashEnumList(List<? extends Internal.EnumLite>)

AbstractMessage.hashFields(int,Map<Descriptors.FieldDescriptor,Object>)

AbstractMessage.hashLong(long)

AbstractMessage.toString()

AbstractMessageLite.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.checkByteStringIsUtf8(ByteString)

AbstractMessageLite.toByteArray()

AbstractMessageLite.toByteString()

AbstractMessageLite.writeDelimitedTo(OutputStream)

AbstractMessageLite.writeTo(OutputStream)

GeneratedMessageV3.<M>parseDelimitedWithIOException(Parser<M>,InputStream)

GeneratedMessageV3.<M>parseDelimitedWithIOException(Parser<M>,InputStream,ExtensionRegistryLite)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,CodedInputStream)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,CodedInputStream,ExtensionRegistryLite)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,InputStream)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,InputStream,ExtensionRegistryLite)

GeneratedMessageV3.<V>serializeBooleanMapTo(CodedOutputStream,MapField<Boolean,V>,MapEntry<Boolean,V>,int)

GeneratedMessageV3.<V>serializeIntegerMapTo(CodedOutputStream,MapField<Integer,V>,MapEntry<Integer,V>,int)

GeneratedMessageV3.<V>serializeLongMapTo(CodedOutputStream,MapField<Long,V>,MapEntry<Long,V>,int)

GeneratedMessageV3.<V>serializeStringMapTo(CodedOutputStream,MapField<String,V>,MapEntry<String,V>,int)

GeneratedMessageV3.canUseUnsafe()

GeneratedMessageV3.computeStringSize(int,Object)

GeneratedMessageV3.computeStringSizeNoTag(Object)

GeneratedMessageV3.emptyBooleanList()

GeneratedMessageV3.emptyDoubleList()

GeneratedMessageV3.emptyFloatList()

GeneratedMessageV3.emptyIntList()

GeneratedMessageV3.emptyLongList()

GeneratedMessageV3.getAllFields()

GeneratedMessageV3.getDescriptorForType()

GeneratedMessageV3.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.getParserForType()

GeneratedMessageV3.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.getRepeatedFieldCount(Descriptors.FieldDescriptor)

GeneratedMessageV3.getSerializedSize()

GeneratedMessageV3.getUnknownFields()

GeneratedMessageV3.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.internalGetFieldAccessorTable()

GeneratedMessageV3.internalGetMapField(int)

GeneratedMessageV3.isInitialized()

GeneratedMessageV3.isStringEmpty(Object)

GeneratedMessageV3.makeExtensionsImmutable()

GeneratedMessageV3.mergeFromAndMakeImmutableInternal(CodedInputStream,ExtensionRegistryLite)

GeneratedMessageV3.mutableCopy(Internal.BooleanList)

GeneratedMessageV3.mutableCopy(Internal.DoubleList)

GeneratedMessageV3.mutableCopy(Internal.FloatList)

GeneratedMessageV3.mutableCopy(Internal.IntList)

GeneratedMessageV3.mutableCopy(Internal.LongList)

GeneratedMessageV3.newBooleanList()

GeneratedMessageV3.newBuilderForType(AbstractMessage.BuilderParent)

GeneratedMessageV3.newBuilderForType(GeneratedMessageV3.BuilderParent)

GeneratedMessageV3.newDoubleList()

GeneratedMessageV3.newFloatList()

GeneratedMessageV3.newInstance(GeneratedMessageV3.UnusedPrivateParameter)

GeneratedMessageV3.newIntList()

GeneratedMessageV3.newLongList()

GeneratedMessageV3.parseUnknownField(CodedInputStream,UnknownFieldSet.Builder,ExtensionRegistryLite,int)

GeneratedMessageV3.parseUnknownFieldProto3(CodedInputStream,UnknownFieldSet.Builder,ExtensionRegistryLite,int)

GeneratedMessageV3.writeReplace()

GeneratedMessageV3.writeString(CodedOutputStream,int,Object)

GeneratedMessageV3.writeStringNoTag(CodedOutputStream,Object)

GeneratedMessageV3.writeTo(CodedOutputStream)

Object.clone()

Object.finalize()

Object.getClass()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Fields

ANNOTATION_SPEC_ID_FIELD_NUMBER

public static final int ANNOTATION_SPEC_ID_FIELD_NUMBER

Field Value

Type	Description
int

AU_PRC_FIELD_NUMBER

public static final int AU_PRC_FIELD_NUMBER

Field Value

Type	Description
int

AU_ROC_FIELD_NUMBER

public static final int AU_ROC_FIELD_NUMBER

Field Value

Type	Description
int

BASE_AU_PRC_FIELD_NUMBER

public static final int BASE_AU_PRC_FIELD_NUMBER

Field Value

Type	Description
int

CONFIDENCE_METRICS_ENTRY_FIELD_NUMBER

public static final int CONFIDENCE_METRICS_ENTRY_FIELD_NUMBER

Field Value

Type	Description
int

CONFUSION_MATRIX_FIELD_NUMBER

public static final int CONFUSION_MATRIX_FIELD_NUMBER

Field Value

Type	Description
int

LOG_LOSS_FIELD_NUMBER

public static final int LOG_LOSS_FIELD_NUMBER

Field Value

Type	Description
int

Static Methods

getDefaultInstance()

public static ClassificationProto.ClassificationEvaluationMetrics getDefaultInstance()

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns

Type	Description
Descriptor

newBuilder()

public static ClassificationProto.ClassificationEvaluationMetrics.Builder newBuilder()

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics.Builder

newBuilder(ClassificationProto.ClassificationEvaluationMetrics prototype)

public static ClassificationProto.ClassificationEvaluationMetrics.Builder newBuilder(ClassificationProto.ClassificationEvaluationMetrics prototype)

Parameter

Name	Description
prototype	ClassificationProto.ClassificationEvaluationMetrics

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics.Builder

parseDelimitedFrom(InputStream input)

public static ClassificationProto.ClassificationEvaluationMetrics parseDelimitedFrom(InputStream input)

Parameter

Name	Description
input	InputStream

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics

Exceptions

Type	Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ClassificationProto.ClassificationEvaluationMetrics parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
input	InputStream
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics

Exceptions

Type	Description
IOException

parseFrom(byte[] data)

public static ClassificationProto.ClassificationEvaluationMetrics parseFrom(byte[] data)

Parameter

Name	Description
data	byte[]

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics

Exceptions

Type	Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static ClassificationProto.ClassificationEvaluationMetrics parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
data	byte[]
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics

Exceptions

Type	Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static ClassificationProto.ClassificationEvaluationMetrics parseFrom(ByteString data)

Parameter

Name	Description
data	ByteString

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics

Exceptions

Type	Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static ClassificationProto.ClassificationEvaluationMetrics parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
data	ByteString
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics

Exceptions

Type	Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static ClassificationProto.ClassificationEvaluationMetrics parseFrom(CodedInputStream input)

Parameter

Name	Description
input	CodedInputStream

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics

Exceptions

Type	Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static ClassificationProto.ClassificationEvaluationMetrics parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics

Exceptions

Type	Description
IOException

parseFrom(InputStream input)

public static ClassificationProto.ClassificationEvaluationMetrics parseFrom(InputStream input)

Parameter

Name	Description
input	InputStream

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics

Exceptions

Type	Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ClassificationProto.ClassificationEvaluationMetrics parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
input	InputStream
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics

Exceptions

Type	Description
IOException

parseFrom(ByteBuffer data)

public static ClassificationProto.ClassificationEvaluationMetrics parseFrom(ByteBuffer data)

Parameter

Name	Description
data	ByteBuffer

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics

Exceptions

Type	Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static ClassificationProto.ClassificationEvaluationMetrics parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
data	ByteBuffer
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics

Exceptions

Type	Description
InvalidProtocolBufferException

parser()

public static Parser<ClassificationProto.ClassificationEvaluationMetrics> parser()

Returns

Type	Description
Parser<ClassificationEvaluationMetrics>

Methods

equals(Object obj)

public boolean equals(Object obj)

Parameter

Name	Description
obj	Object

Returns

Type	Description
boolean

Overrides

AbstractMessage.equals(Object other)

getAnnotationSpecId(int index)

public String getAnnotationSpecId(int index)

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

repeated string annotation_spec_id = 5;

Parameter

Name	Description
index	int The index of the element to return.

Returns

Type	Description
String	The annotationSpecId at the given index.

getAnnotationSpecIdBytes(int index)

public ByteString getAnnotationSpecIdBytes(int index)

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

repeated string annotation_spec_id = 5;

Parameter

Name	Description
index	int The index of the value to return.

Returns

Type	Description
ByteString	The bytes of the annotationSpecId at the given index.

getAnnotationSpecIdCount()

public int getAnnotationSpecIdCount()

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

repeated string annotation_spec_id = 5;

Returns

Type	Description
int	The count of annotationSpecId.

getAnnotationSpecIdList()

public ProtocolStringList getAnnotationSpecIdList()

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

repeated string annotation_spec_id = 5;

Returns

Type	Description
ProtocolStringList	A list containing the annotationSpecId.

getAuPrc()

public float getAuPrc()

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

float au_prc = 1;

Returns

Type	Description
float	The auPrc.

getAuRoc()

public float getAuRoc()

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

float au_roc = 6;

Returns

Type	Description
float	The auRoc.

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];

Returns

Type	Description
float	The baseAuPrc.

getConfidenceMetricsEntry(int index)

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;

Parameter

Name	Description
index	int

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry

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;

Returns

Type	Description
int

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;

Returns

Type	Description
List<ConfidenceMetricsEntry>

getConfidenceMetricsEntryOrBuilder(int index)

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;

Parameter

Name	Description
index	int

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntryOrBuilder

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;

Returns

Type	Description
List<? extends com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntryOrBuilder>

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;

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix	The confusionMatrix.

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;

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

getDefaultInstanceForType()

public ClassificationProto.ClassificationEvaluationMetrics getDefaultInstanceForType()

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics

getLogLoss()

public float getLogLoss()

Output only. The Log Loss metric.

float log_loss = 7;

Returns

Type	Description
float	The logLoss.

getParserForType()

public Parser<ClassificationProto.ClassificationEvaluationMetrics> getParserForType()

Returns

Type	Description
Parser<ClassificationEvaluationMetrics>

Overrides

GeneratedMessageV3.getParserForType()

getSerializedSize()

public int getSerializedSize()

Returns

Type	Description
int

Overrides

GeneratedMessageV3.getSerializedSize()

getUnknownFields()

public final UnknownFieldSet getUnknownFields()

Returns

Type	Description
UnknownFieldSet

Overrides

GeneratedMessageV3.getUnknownFields()

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;

Returns

Type	Description
boolean	Whether the confusionMatrix field is set.

hashCode()

public int hashCode()

Returns

Type	Description
int

Overrides

AbstractMessage.hashCode()

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns

Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns

Type	Description
boolean

Overrides

GeneratedMessageV3.isInitialized()

newBuilderForType()

public ClassificationProto.ClassificationEvaluationMetrics.Builder newBuilderForType()

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected ClassificationProto.ClassificationEvaluationMetrics.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)

Parameter

Name	Description
parent	BuilderParent

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.newBuilderForType(GeneratedMessageV3.BuilderParent parent)

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

Parameter

Name	Description
unused	UnusedPrivateParameter

Returns

Type	Description
Object

Overrides

GeneratedMessageV3.newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

toBuilder()

public ClassificationProto.ClassificationEvaluationMetrics.Builder toBuilder()

Returns

Type	Description
ClassificationProto.ClassificationEvaluationMetrics.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)

Parameter

Name	Description
output	CodedOutputStream

Overrides

GeneratedMessageV3.writeTo(CodedOutputStream output)

Exceptions

Type	Description
IOException