Class RegressionProto.RegressionEvaluationMetrics (2.48.0) 

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

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

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

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

hashCode()

public int hashCode()
Returns
Type Description
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

newBuilderForType()

public RegressionProto.RegressionEvaluationMetrics.Builder newBuilderForType()
Returns
Type Description
RegressionProto.RegressionEvaluationMetrics.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected RegressionProto.RegressionEvaluationMetrics.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Name Description
parent BuilderParent
Returns
Type Description
RegressionProto.RegressionEvaluationMetrics.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Name Description
unused UnusedPrivateParameter
Returns
Type Description
Object
Overrides

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
Exceptions
Type Description
IOException