Class ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix (2.14.0)

Version 2.14.0

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public static final class ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix extends GeneratedMessageV3 implements ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

Confusion matrix of the model running the classification.

Protobuf type google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix

Inheritance

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

Implements

ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

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

DISPLAY_NAME_FIELD_NUMBER

public static final int DISPLAY_NAME_FIELD_NUMBER

Field Value
Type	Description
int

ROW_FIELD_NUMBER

public static final int ROW_FIELD_NUMBER

Field Value
Type	Description
int

Static Methods

getDefaultInstance()

public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix getDefaultInstance()

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

newBuilder()

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

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder

newBuilder(ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix prototype)

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

Parameter
Name	Description
prototype	ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder

parseDelimitedFrom(InputStream input)

public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix parseDelimitedFrom(InputStream input)

Parameter
Name	Description
input	InputStream

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix

Exceptions
Type	Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
input	InputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix

Exceptions
Type	Description
IOException

parseFrom(byte[] data)

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

Parameter
Name	Description
data	byte[]

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix

Exceptions
Type	Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
data	byte[]
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix

Exceptions
Type	Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix parseFrom(ByteString data)

Parameter
Name	Description
data	ByteString

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix

Exceptions
Type	Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
data	ByteString
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix

Exceptions
Type	Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix parseFrom(CodedInputStream input)

Parameter
Name	Description
input	CodedInputStream

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix

Exceptions
Type	Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix

Exceptions
Type	Description
IOException

parseFrom(InputStream input)

public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix parseFrom(InputStream input)

Parameter
Name	Description
input	InputStream

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix

Exceptions
Type	Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
input	InputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix

Exceptions
Type	Description
IOException

parseFrom(ByteBuffer data)

public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix parseFrom(ByteBuffer data)

Parameter
Name	Description
data	ByteBuffer

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix

Exceptions
Type	Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
data	ByteBuffer
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix

Exceptions
Type	Description
InvalidProtocolBufferException

parser()

public static Parser<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix> parser()

Returns
Type	Description
Parser<ConfusionMatrix>

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. IDs of the annotation specs used in the confusion matrix. For Tables CLASSIFICATION prediction_type only list of [annotation_spec_display_name-s][] is populated.

repeated string annotation_spec_id = 1;

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. IDs of the annotation specs used in the confusion matrix. For Tables CLASSIFICATION prediction_type only list of [annotation_spec_display_name-s][] is populated.

repeated string annotation_spec_id = 1;

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. IDs of the annotation specs used in the confusion matrix. For Tables CLASSIFICATION prediction_type only list of [annotation_spec_display_name-s][] is populated.

repeated string annotation_spec_id = 1;

Returns
Type	Description
int	The count of annotationSpecId.

getAnnotationSpecIdList()

public ProtocolStringList getAnnotationSpecIdList()

Output only. IDs of the annotation specs used in the confusion matrix. For Tables CLASSIFICATION prediction_type only list of [annotation_spec_display_name-s][] is populated.

repeated string annotation_spec_id = 1;

Returns
Type	Description
ProtocolStringList	A list containing the annotationSpecId.

getDefaultInstanceForType()

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix getDefaultInstanceForType()

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix

getDisplayName(int index)

public String getDisplayName(int index)

Output only. Display name of the annotation specs used in the confusion matrix, as they were at the moment of the evaluation. For Tables CLASSIFICATION prediction_type-s, distinct values of the target column at the moment of the model evaluation are populated here.

repeated string display_name = 3;

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

Returns
Type	Description
String	The displayName at the given index.

getDisplayNameBytes(int index)

public ByteString getDisplayNameBytes(int index)

Output only. Display name of the annotation specs used in the confusion matrix, as they were at the moment of the evaluation. For Tables CLASSIFICATION prediction_type-s, distinct values of the target column at the moment of the model evaluation are populated here.

repeated string display_name = 3;

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

Returns
Type	Description
ByteString	The bytes of the displayName at the given index.

getDisplayNameCount()

public int getDisplayNameCount()

Output only. Display name of the annotation specs used in the confusion matrix, as they were at the moment of the evaluation. For Tables CLASSIFICATION prediction_type-s, distinct values of the target column at the moment of the model evaluation are populated here.

repeated string display_name = 3;

Returns
Type	Description
int	The count of displayName.

getDisplayNameList()

public ProtocolStringList getDisplayNameList()

Output only. Display name of the annotation specs used in the confusion matrix, as they were at the moment of the evaluation. For Tables CLASSIFICATION prediction_type-s, distinct values of the target column at the moment of the model evaluation are populated here.

repeated string display_name = 3;

Returns
Type	Description
ProtocolStringList	A list containing the displayName.

getParserForType()

public Parser<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix> getParserForType()

Returns
Type	Description
Parser<ConfusionMatrix>

Overrides

GeneratedMessageV3.getParserForType()

getRow(int index)

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row getRow(int index)

Output only. Rows in the confusion matrix. The number of rows is equal to the size of annotation_spec_id. row[i].example_count[j] is the number of examples that have ground truth of the annotation_spec_id[i] and are predicted as annotation_spec_id[j] by the model being evaluated.

repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

Parameter
Name	Description
index	int

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row

getRowCount()

public int getRowCount()

Output only. Rows in the confusion matrix. The number of rows is equal to the size of annotation_spec_id. row[i].example_count[j] is the number of examples that have ground truth of the annotation_spec_id[i] and are predicted as annotation_spec_id[j] by the model being evaluated.

repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

Returns
Type	Description
int

getRowList()

public List<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row> getRowList()

Output only. Rows in the confusion matrix. The number of rows is equal to the size of annotation_spec_id. row[i].example_count[j] is the number of examples that have ground truth of the annotation_spec_id[i] and are predicted as annotation_spec_id[j] by the model being evaluated.

repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

Returns
Type	Description
List<Row>

getRowOrBuilder(int index)

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.RowOrBuilder getRowOrBuilder(int index)

Output only. Rows in the confusion matrix. The number of rows is equal to the size of annotation_spec_id. row[i].example_count[j] is the number of examples that have ground truth of the annotation_spec_id[i] and are predicted as annotation_spec_id[j] by the model being evaluated.

repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

Parameter
Name	Description
index	int

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.RowOrBuilder

getRowOrBuilderList()

public List<? extends ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.RowOrBuilder> getRowOrBuilderList()

Output only. Rows in the confusion matrix. The number of rows is equal to the size of annotation_spec_id. row[i].example_count[j] is the number of examples that have ground truth of the annotation_spec_id[i] and are predicted as annotation_spec_id[j] by the model being evaluated.

repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

Returns
Type	Description
List<? extends com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.RowOrBuilder>

getSerializedSize()

public int getSerializedSize()

Returns
Type	Description
int

Overrides

GeneratedMessageV3.getSerializedSize()

getUnknownFields()

public final UnknownFieldSet getUnknownFields()

Returns
Type	Description
UnknownFieldSet

Overrides

GeneratedMessageV3.getUnknownFields()

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.ConfusionMatrix.Builder newBuilderForType()

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

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

Parameter
Name	Description
parent	BuilderParent

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.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.ConfusionMatrix.Builder toBuilder()

Returns
Type	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)

Parameter
Name	Description
output	CodedOutputStream

Overrides

GeneratedMessageV3.writeTo(CodedOutputStream output)

Exceptions
Type	Description
IOException