Class ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry (2.55.0)

public static final class ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry extends GeneratedMessageV3 implements ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntryOrBuilder

Metrics for a single confidence threshold.

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

Inheritance

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

Implements

ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntryOrBuilder

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)

com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT)

com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT,int)

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)

com.google.protobuf.GeneratedMessageV3.<T>emptyList(java.lang.Class<T>)

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)

com.google.protobuf.GeneratedMessageV3.internalGetMapFieldReflection(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

CONFIDENCE_THRESHOLD_FIELD_NUMBER

public static final int CONFIDENCE_THRESHOLD_FIELD_NUMBER

Field Value
Type	Description
`int`

F1_SCORE_AT1_FIELD_NUMBER

public static final int F1_SCORE_AT1_FIELD_NUMBER

Field Value
Type	Description
`int`

F1_SCORE_FIELD_NUMBER

public static final int F1_SCORE_FIELD_NUMBER

Field Value
Type	Description
`int`

FALSE_NEGATIVE_COUNT_FIELD_NUMBER

public static final int FALSE_NEGATIVE_COUNT_FIELD_NUMBER

Field Value
Type	Description
`int`

FALSE_POSITIVE_COUNT_FIELD_NUMBER

public static final int FALSE_POSITIVE_COUNT_FIELD_NUMBER

Field Value
Type	Description
`int`

FALSE_POSITIVE_RATE_AT1_FIELD_NUMBER

public static final int FALSE_POSITIVE_RATE_AT1_FIELD_NUMBER

Field Value
Type	Description
`int`

FALSE_POSITIVE_RATE_FIELD_NUMBER

public static final int FALSE_POSITIVE_RATE_FIELD_NUMBER

Field Value
Type	Description
`int`

POSITION_THRESHOLD_FIELD_NUMBER

public static final int POSITION_THRESHOLD_FIELD_NUMBER

Field Value
Type	Description
`int`

PRECISION_AT1_FIELD_NUMBER

public static final int PRECISION_AT1_FIELD_NUMBER

Field Value
Type	Description
`int`

PRECISION_FIELD_NUMBER

public static final int PRECISION_FIELD_NUMBER

Field Value
Type	Description
`int`

RECALL_AT1_FIELD_NUMBER

public static final int RECALL_AT1_FIELD_NUMBER

Field Value
Type	Description
`int`

RECALL_FIELD_NUMBER

public static final int RECALL_FIELD_NUMBER

Field Value
Type	Description
`int`

TRUE_NEGATIVE_COUNT_FIELD_NUMBER

public static final int TRUE_NEGATIVE_COUNT_FIELD_NUMBER

Field Value
Type	Description
`int`

TRUE_POSITIVE_COUNT_FIELD_NUMBER

public static final int TRUE_POSITIVE_COUNT_FIELD_NUMBER

Field Value
Type	Description
`int`

Static Methods

getDefaultInstance()

public static ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry getDefaultInstance()

Returns
Type	Description
`ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry`

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
`Descriptor`

newBuilder()

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

Returns
Type	Description
`ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder`

newBuilder(ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry prototype)

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

Parameter
Name	Description
`prototype`	`ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry`

Returns
Type	Description
`ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder`

parseDelimitedFrom(InputStream input)

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

Parameter
Name	Description
`input`	`InputStream`

Returns
Type	Description
`ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry`

Exceptions
Type	Description
`IOException`

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
`input`	`InputStream`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry`

Exceptions
Type	Description
`IOException`

parseFrom(byte[] data)

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

Parameter
Name	Description
`data`	`byte[]`

Returns
Type	Description
`ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
`data`	`byte[]`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(ByteString data)

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

Parameter
Name	Description
`data`	`ByteString`

Returns
Type	Description
`ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
`data`	`ByteString`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(CodedInputStream input)

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

Parameter
Name	Description
`input`	`CodedInputStream`

Returns
Type	Description
`ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry`

Exceptions
Type	Description
`IOException`

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
`input`	`CodedInputStream`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry`

Exceptions
Type	Description
`IOException`

parseFrom(InputStream input)

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

Parameter
Name	Description
`input`	`InputStream`

Returns
Type	Description
`ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry`

Exceptions
Type	Description
`IOException`

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
`input`	`InputStream`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry`

Exceptions
Type	Description
`IOException`

parseFrom(ByteBuffer data)

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

Parameter
Name	Description
`data`	`ByteBuffer`

Returns
Type	Description
`ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
`data`	`ByteBuffer`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parser()

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

Returns
Type	Description
`Parser<ConfidenceMetricsEntry>`

Methods

equals(Object obj)

public boolean equals(Object obj)

Parameter
Name	Description
`obj`	`Object`

Returns
Type	Description
`boolean`

Overrides

AbstractMessage.equals(Object other)

getConfidenceThreshold()

public float getConfidenceThreshold()

Output only. Metrics are computed with an assumption that the model never returns predictions with score lower than this value.

float confidence_threshold = 1;

Returns
Type	Description
`float`	The confidenceThreshold.

getDefaultInstanceForType()

public ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry getDefaultInstanceForType()

Returns
Type	Description
`ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry`

getF1Score()

public float getF1Score()

Output only. The harmonic mean of recall and precision.

float f1_score = 4;

Returns
Type	Description
`float`	The f1Score.

getF1ScoreAt1()

public float getF1ScoreAt1()

Output only. The harmonic mean of recall_at1 and precision_at1.

float f1_score_at1 = 7;

Returns
Type	Description
`float`	The f1ScoreAt1.

getFalseNegativeCount()

public long getFalseNegativeCount()

Output only. The number of ground truth labels that are not matched by a model created label.

int64 false_negative_count = 12;

Returns
Type	Description
`long`	The falseNegativeCount.

getFalsePositiveCount()

public long getFalsePositiveCount()

Output only. The number of model created labels that do not match a ground truth label.

int64 false_positive_count = 11;

Returns
Type	Description
`long`	The falsePositiveCount.

getFalsePositiveRate()

public float getFalsePositiveRate()

Output only. False Positive Rate for the given confidence threshold.

float false_positive_rate = 8;

Returns
Type	Description
`float`	The falsePositiveRate.

getFalsePositiveRateAt1()

public float getFalsePositiveRateAt1()

Output only. The False Positive Rate when only considering the label that has the highest prediction score and not below the confidence threshold for each example.

float false_positive_rate_at1 = 9;

Returns
Type	Description
`float`	The falsePositiveRateAt1.

getParserForType()

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

Returns
Type	Description
`Parser<ConfidenceMetricsEntry>`

Overrides

GeneratedMessageV3.getParserForType()

getPositionThreshold()

public int getPositionThreshold()

Output only. Metrics are computed with an assumption that the model always returns at most this many predictions (ordered by their score, descendingly), but they all still need to meet the confidence_threshold.

int32 position_threshold = 14;

Returns
Type	Description
`int`	The positionThreshold.

getPrecision()

public float getPrecision()

Output only. Precision for the given confidence threshold.

float precision = 3;

Returns
Type	Description
`float`	The precision.

getPrecisionAt1()

public float getPrecisionAt1()

Output only. The precision when only considering the label that has the highest prediction score and not below the confidence threshold for each example.

float precision_at1 = 6;

Returns
Type	Description
`float`	The precisionAt1.

getRecall()

public float getRecall()

Output only. Recall (True Positive Rate) for the given confidence threshold.

float recall = 2;

Returns
Type	Description
`float`	The recall.

getRecallAt1()

public float getRecallAt1()

Output only. The Recall (True Positive Rate) when only considering the label that has the highest prediction score and not below the confidence threshold for each example.

float recall_at1 = 5;

Returns
Type	Description
`float`	The recallAt1.

getSerializedSize()

public int getSerializedSize()

Returns
Type	Description
`int`

Overrides

GeneratedMessageV3.getSerializedSize()

getTrueNegativeCount()

public long getTrueNegativeCount()

Output only. The number of labels that were not created by the model, but if they would, they would not match a ground truth label.

int64 true_negative_count = 13;

Returns
Type	Description
`long`	The trueNegativeCount.

getTruePositiveCount()

public long getTruePositiveCount()

Output only. The number of model created labels that match a ground truth label.

int64 true_positive_count = 10;

Returns
Type	Description
`long`	The truePositiveCount.

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.ConfidenceMetricsEntry.Builder newBuilderForType()

Returns
Type	Description
`ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder`

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

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

Parameter
Name	Description
`parent`	`BuilderParent`

Returns
Type	Description
`ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.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.ConfidenceMetricsEntry.Builder toBuilder()

Returns
Type	Description
`ClassificationProto.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder`

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)

Parameter
Name	Description
`output`	`CodedOutputStream`

Overrides

GeneratedMessageV3.writeTo(CodedOutputStream output)

Exceptions
Type	Description
`IOException`