Class RegressionProto.RegressionEvaluationMetrics.Builder (2.16.0)

Version 2.16.0

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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.Builder

Implements

RegressionProto.RegressionEvaluationMetricsOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static 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

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

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

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearField(Descriptors.FieldDescriptor field)

public RegressionProto.RegressionEvaluationMetrics.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

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

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

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

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getDefaultInstanceForType()

public RegressionProto.RegressionEvaluationMetrics getDefaultInstanceForType()

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

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

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

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

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeUnknownFields(UnknownFieldSet unknownFields)

public final RegressionProto.RegressionEvaluationMetrics.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
RegressionProto.RegressionEvaluationMetrics.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

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

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

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	float The 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	float The 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	float The 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

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

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	float The 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	float The 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

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)