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
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MEAN_ABSOLUTE_PERCENTAGE_ERROR_FIELD_NUMBER
public static final int MEAN_ABSOLUTE_PERCENTAGE_ERROR_FIELD_NUMBER
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ROOT_MEAN_SQUARED_ERROR_FIELD_NUMBER
public static final int ROOT_MEAN_SQUARED_ERROR_FIELD_NUMBER
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ROOT_MEAN_SQUARED_LOG_ERROR_FIELD_NUMBER
public static final int ROOT_MEAN_SQUARED_LOG_ERROR_FIELD_NUMBER
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R_SQUARED_FIELD_NUMBER
public static final int R_SQUARED_FIELD_NUMBER
Field Value
Static Methods
getDefaultInstance()
public static RegressionProto.RegressionEvaluationMetrics getDefaultInstance()
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getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
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newBuilder()
public static RegressionProto.RegressionEvaluationMetrics.Builder newBuilder()
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newBuilder(RegressionProto.RegressionEvaluationMetrics prototype)
public static RegressionProto.RegressionEvaluationMetrics.Builder newBuilder(RegressionProto.RegressionEvaluationMetrics prototype)
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public static RegressionProto.RegressionEvaluationMetrics parseDelimitedFrom(InputStream input)
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Exceptions
public static RegressionProto.RegressionEvaluationMetrics parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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parseFrom(byte[] data)
public static RegressionProto.RegressionEvaluationMetrics parseFrom(byte[] data)
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Name | Description |
data | byte[]
|
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Exceptions
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static RegressionProto.RegressionEvaluationMetrics parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
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parseFrom(ByteString data)
public static RegressionProto.RegressionEvaluationMetrics parseFrom(ByteString data)
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parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static RegressionProto.RegressionEvaluationMetrics parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
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public static RegressionProto.RegressionEvaluationMetrics parseFrom(CodedInputStream input)
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public static RegressionProto.RegressionEvaluationMetrics parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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Exceptions
public static RegressionProto.RegressionEvaluationMetrics parseFrom(InputStream input)
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Exceptions
public static RegressionProto.RegressionEvaluationMetrics parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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Exceptions
parseFrom(ByteBuffer data)
public static RegressionProto.RegressionEvaluationMetrics parseFrom(ByteBuffer data)
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parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static RegressionProto.RegressionEvaluationMetrics parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
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Exceptions
parser()
public static Parser<RegressionProto.RegressionEvaluationMetrics> parser()
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Methods
equals(Object obj)
public boolean equals(Object obj)
Parameter
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Overrides
getDefaultInstanceForType()
public RegressionProto.RegressionEvaluationMetrics getDefaultInstanceForType()
Returns
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()
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Overrides
getRSquared()
public float getRSquared()
Output only. R squared.
float r_squared = 4;
Returns
Type | Description |
float | The rSquared.
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getRootMeanSquaredError()
public float getRootMeanSquaredError()
Output only. Root Mean Squared Error (RMSE).
float root_mean_squared_error = 1;
Returns
Type | Description |
float | The rootMeanSquaredError.
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getRootMeanSquaredLogError()
public float getRootMeanSquaredLogError()
Output only. Root mean squared log error.
float root_mean_squared_log_error = 5;
Returns
Type | Description |
float | The rootMeanSquaredLogError.
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getSerializedSize()
public int getSerializedSize()
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Overrides
getUnknownFields()
public final UnknownFieldSet getUnknownFields()
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hashCode()
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Overrides
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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isInitialized()
public final boolean isInitialized()
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Overrides
newBuilderForType()
public RegressionProto.RegressionEvaluationMetrics.Builder newBuilderForType()
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newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected RegressionProto.RegressionEvaluationMetrics.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
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Overrides
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
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Overrides
toBuilder()
public RegressionProto.RegressionEvaluationMetrics.Builder toBuilder()
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writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
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Exceptions