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Class RegressionProto.RegressionEvaluationMetrics (2.14.0)
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Version 2.14.0keyboard_arrow_down
public static final class RegressionProto . RegressionEvaluationMetrics extends GeneratedMessageV3 implements RegressionProto . RegressionEvaluationMetricsOrBuilder
Metrics for regression problems.
Protobuf type google.cloud.automl.v1beta1.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 ()
getDescriptor()
public static final Descriptors . Descriptor getDescriptor ()
newBuilder()
public static RegressionProto . RegressionEvaluationMetrics . Builder newBuilder ()
newBuilder(RegressionProto.RegressionEvaluationMetrics prototype)
public static RegressionProto . RegressionEvaluationMetrics . Builder newBuilder ( RegressionProto . RegressionEvaluationMetrics prototype )
public static RegressionProto . RegressionEvaluationMetrics parseDelimitedFrom ( InputStream input )
public static RegressionProto . RegressionEvaluationMetrics parseDelimitedFrom ( InputStream input , ExtensionRegistryLite extensionRegistry )
parseFrom(byte[] data)
public static RegressionProto . RegressionEvaluationMetrics parseFrom ( byte [] data )
Parameter
Name Description
databyte []
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static RegressionProto . RegressionEvaluationMetrics parseFrom ( byte [] data , ExtensionRegistryLite extensionRegistry )
parseFrom(ByteString data)
public static RegressionProto . RegressionEvaluationMetrics parseFrom ( ByteString data )
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static RegressionProto . RegressionEvaluationMetrics parseFrom ( ByteString data , ExtensionRegistryLite extensionRegistry )
public static RegressionProto . RegressionEvaluationMetrics parseFrom ( CodedInputStream input )
public static RegressionProto . RegressionEvaluationMetrics parseFrom ( CodedInputStream input , ExtensionRegistryLite extensionRegistry )
public static RegressionProto . RegressionEvaluationMetrics parseFrom ( InputStream input )
public static RegressionProto . RegressionEvaluationMetrics parseFrom ( InputStream input , ExtensionRegistryLite extensionRegistry )
parseFrom(ByteBuffer data)
public static RegressionProto . RegressionEvaluationMetrics parseFrom ( ByteBuffer data )
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static RegressionProto . RegressionEvaluationMetrics parseFrom ( ByteBuffer data , ExtensionRegistryLite extensionRegistry )
parser()
public static Parser<RegressionProto . RegressionEvaluationMetrics > parser ()
Methods
equals(Object obj)
public boolean equals ( Object obj )
Parameter
Name Description
objObject
Overrides
getDefaultInstanceForType()
public RegressionProto . RegressionEvaluationMetrics getDefaultInstanceForType ()
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 ()
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
getUnknownFields()
public final UnknownFieldSet getUnknownFields ()
Overrides
hashCode()
Returns
Type Description
int
Overrides
internalGetFieldAccessorTable()
protected GeneratedMessageV3 . FieldAccessorTable internalGetFieldAccessorTable ()
Overrides
isInitialized()
public final boolean isInitialized ()
Overrides
newBuilderForType()
public RegressionProto . RegressionEvaluationMetrics . Builder newBuilderForType ()
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected RegressionProto . RegressionEvaluationMetrics . Builder newBuilderForType ( GeneratedMessageV3 . BuilderParent parent )
Overrides
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance ( GeneratedMessageV3 . UnusedPrivateParameter unused )
Returns
Type Description
Object
Overrides
toBuilder()
public RegressionProto . RegressionEvaluationMetrics . Builder toBuilder ()
writeTo(CodedOutputStream output)
public void writeTo ( CodedOutputStream output )
Overrides
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Last updated 2025-06-13 UTC.
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