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public static final class RegressionProto.RegressionEvaluationMetrics.Builder extends GeneratedMessageV3.Builder<RegressionProto.RegressionEvaluationMetrics.Builder> implements RegressionProto.RegressionEvaluationMetricsOrBuilderMetrics 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()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public RegressionProto.RegressionEvaluationMetrics.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
|
build()
public RegressionProto.RegressionEvaluationMetrics build()| Returns | |
|---|---|
| Type | Description |
RegressionProto.RegressionEvaluationMetrics |
|
buildPartial()
public RegressionProto.RegressionEvaluationMetrics buildPartial()| Returns | |
|---|---|
| Type | Description |
RegressionProto.RegressionEvaluationMetrics |
|
clear()
public RegressionProto.RegressionEvaluationMetrics.Builder clear()| Returns | |
|---|---|
| Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
|
clearField(Descriptors.FieldDescriptor field)
public RegressionProto.RegressionEvaluationMetrics.Builder clearField(Descriptors.FieldDescriptor field)| Parameter | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
| Returns | |
|---|---|
| Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
|
clearMeanAbsoluteError()
public RegressionProto.RegressionEvaluationMetrics.Builder clearMeanAbsoluteError()Output only. Mean Absolute Error (MAE).
float mean_absolute_error = 2;
| Returns | |
|---|---|
| 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 | |
|---|---|
| Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
This builder for chaining. |
clearOneof(Descriptors.OneofDescriptor oneof)
public RegressionProto.RegressionEvaluationMetrics.Builder clearOneof(Descriptors.OneofDescriptor oneof)| Parameter | |
|---|---|
| Name | Description |
oneof |
OneofDescriptor |
| Returns | |
|---|---|
| Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
|
clearRSquared()
public RegressionProto.RegressionEvaluationMetrics.Builder clearRSquared()Output only. R squared.
float r_squared = 4;
| Returns | |
|---|---|
| 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 | |
|---|---|
| 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;
| Returns | |
|---|---|
| Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
This builder for chaining. |
clone()
public RegressionProto.RegressionEvaluationMetrics.Builder clone()| Returns | |
|---|---|
| Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
|
getDefaultInstanceForType()
public RegressionProto.RegressionEvaluationMetrics getDefaultInstanceForType()| Returns | |
|---|---|
| Type | Description |
RegressionProto.RegressionEvaluationMetrics |
|
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
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. |
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. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()| Returns | |
|---|---|
| Type | Description |
FieldAccessorTable |
|
isInitialized()
public final boolean isInitialized()| Returns | |
|---|---|
| Type | Description |
boolean |
|
mergeFrom(RegressionProto.RegressionEvaluationMetrics other)
public RegressionProto.RegressionEvaluationMetrics.Builder mergeFrom(RegressionProto.RegressionEvaluationMetrics other)| Parameter | |
|---|---|
| Name | Description |
other |
RegressionProto.RegressionEvaluationMetrics |
| Returns | |
|---|---|
| Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
|
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public RegressionProto.RegressionEvaluationMetrics.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)| Parameters | |
|---|---|
| Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
| Returns | |
|---|---|
| Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
|
| Exceptions | |
|---|---|
| Type | Description |
IOException |
|
mergeFrom(Message other)
public RegressionProto.RegressionEvaluationMetrics.Builder mergeFrom(Message other)| Parameter | |
|---|---|
| Name | Description |
other |
Message |
| Returns | |
|---|---|
| Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
|
mergeUnknownFields(UnknownFieldSet unknownFields)
public final RegressionProto.RegressionEvaluationMetrics.Builder mergeUnknownFields(UnknownFieldSet unknownFields)| Parameter | |
|---|---|
| Name | Description |
unknownFields |
UnknownFieldSet |
| Returns | |
|---|---|
| Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
|
setField(Descriptors.FieldDescriptor field, Object value)
public RegressionProto.RegressionEvaluationMetrics.Builder setField(Descriptors.FieldDescriptor field, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
value |
Object |
| Returns | |
|---|---|
| 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 | |
|---|---|
| Name | Description |
value |
floatThe meanAbsoluteError to set. |
| Returns | |
|---|---|
| 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 | |
|---|---|
| Name | Description |
value |
floatThe meanAbsolutePercentageError to set. |
| Returns | |
|---|---|
| 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 | |
|---|---|
| Name | Description |
value |
floatThe rSquared to set. |
| Returns | |
|---|---|
| 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 | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
index |
int |
value |
Object |
| Returns | |
|---|---|
| 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 | |
|---|---|
| Name | Description |
value |
floatThe rootMeanSquaredError to set. |
| Returns | |
|---|---|
| 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 | |
|---|---|
| Name | Description |
value |
floatThe rootMeanSquaredLogError to set. |
| Returns | |
|---|---|
| Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
This builder for chaining. |
setUnknownFields(UnknownFieldSet unknownFields)
public final RegressionProto.RegressionEvaluationMetrics.Builder setUnknownFields(UnknownFieldSet unknownFields)| Parameter | |
|---|---|
| Name | Description |
unknownFields |
UnknownFieldSet |
| Returns | |
|---|---|
| Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
|