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Class RegressionProto.RegressionEvaluationMetrics (2.46.0)
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Version 2.46.0 keyboard_arrow_down
public static final class RegressionProto . RegressionEvaluationMetrics extends GeneratedMessageV3 implements RegressionProto . RegressionEvaluationMetricsOrBuilder
Metrics for regression problems.
Protobuf type google.cloud.automl.v1beta1.RegressionEvaluationMetrics
Inherited Members
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT)
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT,int)
com.google.protobuf.GeneratedMessageV3.<T>emptyList(java.lang.Class<T>)
com.google.protobuf.GeneratedMessageV3.internalGetMapFieldReflection(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 ()
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
data
byte []
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
obj
Object
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
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 2025-01-27 UTC.
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