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Class RegressionProto.RegressionEvaluationMetrics (2.18.0)
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Version 2.18.0 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)
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
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 )
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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