Class RegressionProto.RegressionEvaluationMetrics (2.87.0)

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public static final class RegressionProto.RegressionEvaluationMetrics extends GeneratedMessage implements RegressionProto.RegressionEvaluationMetricsOrBuilder

Metrics for regression problems.

Protobuf type google.cloud.automl.v1beta1.RegressionEvaluationMetrics

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessage > RegressionProto.RegressionEvaluationMetrics

Implements

RegressionProto.RegressionEvaluationMetricsOrBuilder

Inherited Members

AbstractMessage.equals(Object)

AbstractMessage.findInitializationErrors()

AbstractMessage.getInitializationErrorString()

AbstractMessage.hashCode()

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

AbstractMessage.newBuilderForType(AbstractMessage.BuilderParent)

AbstractMessage.toString()

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

AbstractMessageLite.checkByteStringIsUtf8(ByteString)

AbstractMessageLite.toByteArray()

AbstractMessageLite.toByteString()

AbstractMessageLite.writeDelimitedTo(OutputStream)

AbstractMessageLite.writeTo(OutputStream)

com.google.protobuf.GeneratedMessage.<ContainingT,T>newFileScopedGeneratedExtension(java.lang.Class<?>,com.google.protobuf.Message)

com.google.protobuf.GeneratedMessage.<ContainingT,T>newMessageScopedGeneratedExtension(com.google.protobuf.Message,int,java.lang.Class<?>,com.google.protobuf.Message)

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

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

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

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

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

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

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

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

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

com.google.protobuf.GeneratedMessage.<V>serializeBooleanMapTo(com.google.protobuf.CodedOutputStream,com.google.protobuf.MapField<java.lang.Boolean,V>,com.google.protobuf.MapEntry<java.lang.Boolean,V>,int)

com.google.protobuf.GeneratedMessage.<V>serializeIntegerMapTo(com.google.protobuf.CodedOutputStream,com.google.protobuf.MapField<java.lang.Integer,V>,com.google.protobuf.MapEntry<java.lang.Integer,V>,int)

com.google.protobuf.GeneratedMessage.<V>serializeLongMapTo(com.google.protobuf.CodedOutputStream,com.google.protobuf.MapField<java.lang.Long,V>,com.google.protobuf.MapEntry<java.lang.Long,V>,int)

com.google.protobuf.GeneratedMessage.<V>serializeStringMapTo(com.google.protobuf.CodedOutputStream,com.google.protobuf.MapField<java.lang.String,V>,com.google.protobuf.MapEntry<java.lang.String,V>,int)

com.google.protobuf.GeneratedMessage.canUseUnsafe()

GeneratedMessage.computeStringSize(int,Object)

GeneratedMessage.computeStringSizeNoTag(Object)

com.google.protobuf.GeneratedMessage.emptyBooleanList()

com.google.protobuf.GeneratedMessage.emptyDoubleList()

com.google.protobuf.GeneratedMessage.emptyFloatList()

com.google.protobuf.GeneratedMessage.emptyIntList()

com.google.protobuf.GeneratedMessage.emptyLongList()

GeneratedMessage.getAllFields()

GeneratedMessage.getDescriptorForType()

GeneratedMessage.getField(Descriptors.FieldDescriptor)

GeneratedMessage.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessage.getParserForType()

GeneratedMessage.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessage.getRepeatedFieldCount(Descriptors.FieldDescriptor)

GeneratedMessage.getSerializedSize()

GeneratedMessage.getUnknownFields()

GeneratedMessage.hasField(Descriptors.FieldDescriptor)

GeneratedMessage.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessage.internalGetFieldAccessorTable()

GeneratedMessage.internalGetMapField(int)

com.google.protobuf.GeneratedMessage.internalGetMapFieldReflection(int)

GeneratedMessage.isInitialized()

com.google.protobuf.GeneratedMessage.isStringEmpty(java.lang.Object)

GeneratedMessage.makeExtensionsImmutable()

com.google.protobuf.GeneratedMessage.mergeFromAndMakeImmutableInternal(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite)

com.google.protobuf.GeneratedMessage.newInstance(com.google.protobuf.GeneratedMessage.UnusedPrivateParameter)

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

com.google.protobuf.GeneratedMessage.parseUnknownFieldProto3(com.google.protobuf.CodedInputStream,com.google.protobuf.UnknownFieldSet.Builder,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessage.writeReplace()

GeneratedMessage.writeString(CodedOutputStream,int,Object)

GeneratedMessage.writeStringNoTag(CodedOutputStream,Object)

GeneratedMessage.writeTo(CodedOutputStream)

Object.clone()

Object.finalize()

Object.getClass()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Fields

MEAN_ABSOLUTE_ERROR_FIELD_NUMBER

public static final int MEAN_ABSOLUTE_ERROR_FIELD_NUMBER

Field Value
Type	Description
int

MEAN_ABSOLUTE_PERCENTAGE_ERROR_FIELD_NUMBER

public static final int MEAN_ABSOLUTE_PERCENTAGE_ERROR_FIELD_NUMBER

Field Value
Type	Description
int

ROOT_MEAN_SQUARED_ERROR_FIELD_NUMBER

public static final int ROOT_MEAN_SQUARED_ERROR_FIELD_NUMBER

Field Value
Type	Description
int

ROOT_MEAN_SQUARED_LOG_ERROR_FIELD_NUMBER

public static final int ROOT_MEAN_SQUARED_LOG_ERROR_FIELD_NUMBER

Field Value
Type	Description
int

R_SQUARED_FIELD_NUMBER

public static final int R_SQUARED_FIELD_NUMBER

Field Value
Type	Description
int

Static Methods

getDefaultInstance()

public static RegressionProto.RegressionEvaluationMetrics getDefaultInstance()

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

newBuilder()

public static RegressionProto.RegressionEvaluationMetrics.Builder newBuilder()

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics.Builder

newBuilder(RegressionProto.RegressionEvaluationMetrics prototype)

public static RegressionProto.RegressionEvaluationMetrics.Builder newBuilder(RegressionProto.RegressionEvaluationMetrics prototype)

Parameter
Name	Description
prototype	RegressionProto.RegressionEvaluationMetrics

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics.Builder

parseDelimitedFrom(InputStream input)

public static RegressionProto.RegressionEvaluationMetrics parseDelimitedFrom(InputStream input)

Parameter
Name	Description
input	InputStream

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics

Exceptions
Type	Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static RegressionProto.RegressionEvaluationMetrics parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	InputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics

Exceptions
Type	Description
IOException

parseFrom(byte[] data)

public static RegressionProto.RegressionEvaluationMetrics parseFrom(byte[] data)

Parameter
Name	Description
data	byte[]

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics

Exceptions
Type	Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static RegressionProto.RegressionEvaluationMetrics parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
data	byte[]
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics

Exceptions
Type	Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static RegressionProto.RegressionEvaluationMetrics parseFrom(ByteString data)

Parameter
Name	Description
data	ByteString

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics

Exceptions
Type	Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static RegressionProto.RegressionEvaluationMetrics parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
data	ByteString
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics

Exceptions
Type	Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static RegressionProto.RegressionEvaluationMetrics parseFrom(CodedInputStream input)

Parameter
Name	Description
input	CodedInputStream

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics

Exceptions
Type	Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static RegressionProto.RegressionEvaluationMetrics parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics

Exceptions
Type	Description
IOException

parseFrom(InputStream input)

public static RegressionProto.RegressionEvaluationMetrics parseFrom(InputStream input)

Parameter
Name	Description
input	InputStream

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics

Exceptions
Type	Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static RegressionProto.RegressionEvaluationMetrics parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	InputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics

Exceptions
Type	Description
IOException

parseFrom(ByteBuffer data)

public static RegressionProto.RegressionEvaluationMetrics parseFrom(ByteBuffer data)

Parameter
Name	Description
data	ByteBuffer

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics

Exceptions
Type	Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static RegressionProto.RegressionEvaluationMetrics parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
data	ByteBuffer
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics

Exceptions
Type	Description
InvalidProtocolBufferException

parser()

public static Parser<RegressionProto.RegressionEvaluationMetrics> parser()

Returns
Type	Description
Parser<RegressionEvaluationMetrics>

Methods

equals(Object obj)

public boolean equals(Object obj)

Parameter
Name	Description
obj	Object

Returns
Type	Description
boolean

Overrides

AbstractMessage.equals(Object other)

getDefaultInstanceForType()

public RegressionProto.RegressionEvaluationMetrics getDefaultInstanceForType()

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics

getMeanAbsoluteError()

public float getMeanAbsoluteError()

Output only. Mean Absolute Error (MAE).

float mean_absolute_error = 2;

Returns
Type	Description
float	The meanAbsoluteError.

getMeanAbsolutePercentageError()

public float getMeanAbsolutePercentageError()

Output only. Mean absolute percentage error. Only set if all ground truth values are are positive.

float mean_absolute_percentage_error = 3;

Returns
Type	Description
float	The meanAbsolutePercentageError.

getParserForType()

public Parser<RegressionProto.RegressionEvaluationMetrics> getParserForType()

Returns
Type	Description
Parser<RegressionEvaluationMetrics>

Overrides

GeneratedMessage.getParserForType()

getRSquared()

public float getRSquared()

Output only. R squared.

float r_squared = 4;

Returns
Type	Description
float	The rSquared.

getRootMeanSquaredError()

public float getRootMeanSquaredError()

Output only. Root Mean Squared Error (RMSE).

float root_mean_squared_error = 1;

Returns
Type	Description
float	The rootMeanSquaredError.

getRootMeanSquaredLogError()

public float getRootMeanSquaredLogError()

Output only. Root mean squared log error.

float root_mean_squared_log_error = 5;

Returns
Type	Description
float	The rootMeanSquaredLogError.

getSerializedSize()

public int getSerializedSize()

Returns
Type	Description
int

Overrides

GeneratedMessage.getSerializedSize()

hashCode()

public int hashCode()

Returns
Type	Description
int

Overrides

AbstractMessage.hashCode()

internalGetFieldAccessorTable()

protected GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessage.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessage.isInitialized()

newBuilderForType()

public RegressionProto.RegressionEvaluationMetrics.Builder newBuilderForType()

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics.Builder

newBuilderForType(AbstractMessage.BuilderParent parent)

protected RegressionProto.RegressionEvaluationMetrics.Builder newBuilderForType(AbstractMessage.BuilderParent parent)

Parameter
Name	Description
parent	BuilderParent

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics.Builder

Overrides

AbstractMessage.newBuilderForType(AbstractMessage.BuilderParent parent)

toBuilder()

public RegressionProto.RegressionEvaluationMetrics.Builder toBuilder()

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)

Parameter
Name	Description
output	CodedOutputStream

Overrides

GeneratedMessage.writeTo(CodedOutputStream output)

Exceptions
Type	Description
IOException