public static final class RegressionProto.RegressionEvaluationMetrics.Builder extends GeneratedMessageV3.Builder<RegressionProto.RegressionEvaluationMetrics.Builder> implements RegressionProto.RegressionEvaluationMetricsOrBuilder
Metrics for regression problems.
Protobuf type google.cloud.automl.v1beta1.RegressionEvaluationMetrics
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > RegressionProto.RegressionEvaluationMetrics.BuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
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Type | Description |
Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public RegressionProto.RegressionEvaluationMetrics.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
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Name | Description |
field | FieldDescriptor |
value | Object |
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Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
build()
public RegressionProto.RegressionEvaluationMetrics build()
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Type | Description |
RegressionProto.RegressionEvaluationMetrics |
buildPartial()
public RegressionProto.RegressionEvaluationMetrics buildPartial()
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Type | Description |
RegressionProto.RegressionEvaluationMetrics |
clear()
public RegressionProto.RegressionEvaluationMetrics.Builder clear()
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Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
clearField(Descriptors.FieldDescriptor field)
public RegressionProto.RegressionEvaluationMetrics.Builder clearField(Descriptors.FieldDescriptor field)
Parameter | |
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Name | Description |
field | FieldDescriptor |
Returns | |
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Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
clearMeanAbsoluteError()
public RegressionProto.RegressionEvaluationMetrics.Builder clearMeanAbsoluteError()
Output only. Mean Absolute Error (MAE).
float mean_absolute_error = 2;
Returns | |
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Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder | This builder for chaining. |
clearMeanAbsolutePercentageError()
public RegressionProto.RegressionEvaluationMetrics.Builder clearMeanAbsolutePercentageError()
Output only. Mean absolute percentage error. Only set if all ground truth values are are positive.
float mean_absolute_percentage_error = 3;
Returns | |
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Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder | This builder for chaining. |
clearOneof(Descriptors.OneofDescriptor oneof)
public RegressionProto.RegressionEvaluationMetrics.Builder clearOneof(Descriptors.OneofDescriptor oneof)
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Name | Description |
oneof | OneofDescriptor |
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Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
clearRSquared()
public RegressionProto.RegressionEvaluationMetrics.Builder clearRSquared()
Output only. R squared.
float r_squared = 4;
Returns | |
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Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder | This builder for chaining. |
clearRootMeanSquaredError()
public RegressionProto.RegressionEvaluationMetrics.Builder clearRootMeanSquaredError()
Output only. Root Mean Squared Error (RMSE).
float root_mean_squared_error = 1;
Returns | |
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Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder | This builder for chaining. |
clearRootMeanSquaredLogError()
public RegressionProto.RegressionEvaluationMetrics.Builder clearRootMeanSquaredLogError()
Output only. Root mean squared log error.
float root_mean_squared_log_error = 5;
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Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder | This builder for chaining. |
clone()
public RegressionProto.RegressionEvaluationMetrics.Builder clone()
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Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
getDefaultInstanceForType()
public RegressionProto.RegressionEvaluationMetrics getDefaultInstanceForType()
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Type | Description |
RegressionProto.RegressionEvaluationMetrics |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Returns | |
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Type | Description |
Descriptor |
getMeanAbsoluteError()
public float getMeanAbsoluteError()
Output only. Mean Absolute Error (MAE).
float mean_absolute_error = 2;
Returns | |
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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 | |
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Type | Description |
float | The meanAbsolutePercentageError. |
getRSquared()
public float getRSquared()
Output only. R squared.
float r_squared = 4;
Returns | |
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Type | Description |
float | The rSquared. |
getRootMeanSquaredError()
public float getRootMeanSquaredError()
Output only. Root Mean Squared Error (RMSE).
float root_mean_squared_error = 1;
Returns | |
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Type | Description |
float | The rootMeanSquaredError. |
getRootMeanSquaredLogError()
public float getRootMeanSquaredLogError()
Output only. Root mean squared log error.
float root_mean_squared_log_error = 5;
Returns | |
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Type | Description |
float | The rootMeanSquaredLogError. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
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Type | Description |
boolean |
mergeFrom(RegressionProto.RegressionEvaluationMetrics other)
public RegressionProto.RegressionEvaluationMetrics.Builder mergeFrom(RegressionProto.RegressionEvaluationMetrics other)
Parameter | |
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Name | Description |
other | RegressionProto.RegressionEvaluationMetrics |
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Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public RegressionProto.RegressionEvaluationMetrics.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Returns | |
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Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
Exceptions | |
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Type | Description |
IOException |
mergeFrom(Message other)
public RegressionProto.RegressionEvaluationMetrics.Builder mergeFrom(Message other)
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Name | Description |
other | Message |
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Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final RegressionProto.RegressionEvaluationMetrics.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
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Name | Description |
unknownFields | UnknownFieldSet |
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Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
setField(Descriptors.FieldDescriptor field, Object value)
public RegressionProto.RegressionEvaluationMetrics.Builder setField(Descriptors.FieldDescriptor field, Object value)
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Name | Description |
field | FieldDescriptor |
value | Object |
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Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
setMeanAbsoluteError(float value)
public RegressionProto.RegressionEvaluationMetrics.Builder setMeanAbsoluteError(float value)
Output only. Mean Absolute Error (MAE).
float mean_absolute_error = 2;
Parameter | |
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Name | Description |
value | float The meanAbsoluteError to set. |
Returns | |
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Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder | This builder for chaining. |
setMeanAbsolutePercentageError(float value)
public RegressionProto.RegressionEvaluationMetrics.Builder setMeanAbsolutePercentageError(float value)
Output only. Mean absolute percentage error. Only set if all ground truth values are are positive.
float mean_absolute_percentage_error = 3;
Parameter | |
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Name | Description |
value | float The meanAbsolutePercentageError to set. |
Returns | |
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Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder | This builder for chaining. |
setRSquared(float value)
public RegressionProto.RegressionEvaluationMetrics.Builder setRSquared(float value)
Output only. R squared.
float r_squared = 4;
Parameter | |
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Name | Description |
value | float The rSquared to set. |
Returns | |
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Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder | This builder for chaining. |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public RegressionProto.RegressionEvaluationMetrics.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters | |
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Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
Returns | |
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Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
setRootMeanSquaredError(float value)
public RegressionProto.RegressionEvaluationMetrics.Builder setRootMeanSquaredError(float value)
Output only. Root Mean Squared Error (RMSE).
float root_mean_squared_error = 1;
Parameter | |
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Name | Description |
value | float The rootMeanSquaredError to set. |
Returns | |
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Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder | This builder for chaining. |
setRootMeanSquaredLogError(float value)
public RegressionProto.RegressionEvaluationMetrics.Builder setRootMeanSquaredLogError(float value)
Output only. Root mean squared log error.
float root_mean_squared_log_error = 5;
Parameter | |
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Name | Description |
value | float The rootMeanSquaredLogError to set. |
Returns | |
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Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder | This builder for chaining. |
setUnknownFields(UnknownFieldSet unknownFields)
public final RegressionProto.RegressionEvaluationMetrics.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
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Name | Description |
unknownFields | UnknownFieldSet |
Returns | |
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Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |