Class RegressionProto.RegressionEvaluationMetrics

public static final class RegressionProto.RegressionEvaluationMetrics extends GeneratedMessageV3 implements RegressionProto.RegressionEvaluationMetricsOrBuilder

Metrics for regression problems.

Protobuf type google.cloud.automl.v1beta1.RegressionEvaluationMetrics

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > RegressionProto.RegressionEvaluationMetrics

Fields

MEAN_ABSOLUTE_ERROR_FIELD_NUMBER

public static final int MEAN_ABSOLUTE_ERROR_FIELD_NUMBER
Field Value
TypeDescription
int

MEAN_ABSOLUTE_PERCENTAGE_ERROR_FIELD_NUMBER

public static final int MEAN_ABSOLUTE_PERCENTAGE_ERROR_FIELD_NUMBER
Field Value
TypeDescription
int

ROOT_MEAN_SQUARED_ERROR_FIELD_NUMBER

public static final int ROOT_MEAN_SQUARED_ERROR_FIELD_NUMBER
Field Value
TypeDescription
int

ROOT_MEAN_SQUARED_LOG_ERROR_FIELD_NUMBER

public static final int ROOT_MEAN_SQUARED_LOG_ERROR_FIELD_NUMBER
Field Value
TypeDescription
int

R_SQUARED_FIELD_NUMBER

public static final int R_SQUARED_FIELD_NUMBER
Field Value
TypeDescription
int

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
NameDescription
objObject
Returns
TypeDescription
boolean
Overrides

getDefaultInstance()

public static RegressionProto.RegressionEvaluationMetrics getDefaultInstance()
Returns
TypeDescription
RegressionProto.RegressionEvaluationMetrics

getDefaultInstanceForType()

public RegressionProto.RegressionEvaluationMetrics getDefaultInstanceForType()
Returns
TypeDescription
RegressionProto.RegressionEvaluationMetrics

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

getMeanAbsoluteError()

public float getMeanAbsoluteError()

Output only. Mean Absolute Error (MAE).

float mean_absolute_error = 2;

Returns
TypeDescription
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
TypeDescription
float

The meanAbsolutePercentageError.

getParserForType()

public Parser<RegressionProto.RegressionEvaluationMetrics> getParserForType()
Returns
TypeDescription
Parser<RegressionEvaluationMetrics>
Overrides

getRSquared()

public float getRSquared()

Output only. R squared.

float r_squared = 4;

Returns
TypeDescription
float

The rSquared.

getRootMeanSquaredError()

public float getRootMeanSquaredError()

Output only. Root Mean Squared Error (RMSE).

float root_mean_squared_error = 1;

Returns
TypeDescription
float

The rootMeanSquaredError.

getRootMeanSquaredLogError()

public float getRootMeanSquaredLogError()

Output only. Root mean squared log error.

float root_mean_squared_log_error = 5;

Returns
TypeDescription
float

The rootMeanSquaredLogError.

getSerializedSize()

public int getSerializedSize()
Returns
TypeDescription
int
Overrides

getUnknownFields()

public final UnknownFieldSet getUnknownFields()
Returns
TypeDescription
UnknownFieldSet
Overrides

hashCode()

public int hashCode()
Returns
TypeDescription
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

newBuilder()

public static RegressionProto.RegressionEvaluationMetrics.Builder newBuilder()
Returns
TypeDescription
RegressionProto.RegressionEvaluationMetrics.Builder

newBuilder(RegressionProto.RegressionEvaluationMetrics prototype)

public static RegressionProto.RegressionEvaluationMetrics.Builder newBuilder(RegressionProto.RegressionEvaluationMetrics prototype)
Parameter
NameDescription
prototypeRegressionProto.RegressionEvaluationMetrics
Returns
TypeDescription
RegressionProto.RegressionEvaluationMetrics.Builder

newBuilderForType()

public RegressionProto.RegressionEvaluationMetrics.Builder newBuilderForType()
Returns
TypeDescription
RegressionProto.RegressionEvaluationMetrics.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected RegressionProto.RegressionEvaluationMetrics.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
NameDescription
parentBuilderParent
Returns
TypeDescription
RegressionProto.RegressionEvaluationMetrics.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
NameDescription
unusedUnusedPrivateParameter
Returns
TypeDescription
Object
Overrides

parseDelimitedFrom(InputStream input)

public static RegressionProto.RegressionEvaluationMetrics parseDelimitedFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
RegressionProto.RegressionEvaluationMetrics
Exceptions
TypeDescription
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static RegressionProto.RegressionEvaluationMetrics parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
RegressionProto.RegressionEvaluationMetrics
Exceptions
TypeDescription
IOException

parseFrom(byte[] data)

public static RegressionProto.RegressionEvaluationMetrics parseFrom(byte[] data)
Parameter
NameDescription
databyte[]
Returns
TypeDescription
RegressionProto.RegressionEvaluationMetrics
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static RegressionProto.RegressionEvaluationMetrics parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
databyte[]
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
RegressionProto.RegressionEvaluationMetrics
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data)

public static RegressionProto.RegressionEvaluationMetrics parseFrom(ByteString data)
Parameter
NameDescription
dataByteString
Returns
TypeDescription
RegressionProto.RegressionEvaluationMetrics
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static RegressionProto.RegressionEvaluationMetrics parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteString
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
RegressionProto.RegressionEvaluationMetrics
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static RegressionProto.RegressionEvaluationMetrics parseFrom(CodedInputStream input)
Parameter
NameDescription
inputCodedInputStream
Returns
TypeDescription
RegressionProto.RegressionEvaluationMetrics
Exceptions
TypeDescription
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static RegressionProto.RegressionEvaluationMetrics parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
RegressionProto.RegressionEvaluationMetrics
Exceptions
TypeDescription
IOException

parseFrom(InputStream input)

public static RegressionProto.RegressionEvaluationMetrics parseFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
RegressionProto.RegressionEvaluationMetrics
Exceptions
TypeDescription
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static RegressionProto.RegressionEvaluationMetrics parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
RegressionProto.RegressionEvaluationMetrics
Exceptions
TypeDescription
IOException

parseFrom(ByteBuffer data)

public static RegressionProto.RegressionEvaluationMetrics parseFrom(ByteBuffer data)
Parameter
NameDescription
dataByteBuffer
Returns
TypeDescription
RegressionProto.RegressionEvaluationMetrics
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static RegressionProto.RegressionEvaluationMetrics parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteBuffer
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
RegressionProto.RegressionEvaluationMetrics
Exceptions
TypeDescription
InvalidProtocolBufferException

parser()

public static Parser<RegressionProto.RegressionEvaluationMetrics> parser()
Returns
TypeDescription
Parser<RegressionEvaluationMetrics>

toBuilder()

public RegressionProto.RegressionEvaluationMetrics.Builder toBuilder()
Returns
TypeDescription
RegressionProto.RegressionEvaluationMetrics.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
NameDescription
outputCodedOutputStream
Overrides Exceptions
TypeDescription
IOException