com.google.cloud.aiplatform.v1.schema.trainingjob.definition

Class AutoMlTablesInputs

java.lang.Object

com.google.protobuf.AbstractMessageLite

com.google.protobuf.AbstractMessage

com.google.protobuf.GeneratedMessageV3

com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs

All Implemented Interfaces:

AutoMlTablesInputsOrBuilder, com.google.protobuf.Message, com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Serializable

public final class AutoMlTablesInputs
extends com.google.protobuf.GeneratedMessageV3
implements AutoMlTablesInputsOrBuilder

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	AutoMlTablesInputs.AdditionalOptimizationObjectiveConfigCase
static class	AutoMlTablesInputs.Builder Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs
static class	AutoMlTablesInputs.Transformation Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation
static interface	AutoMlTablesInputs.TransformationOrBuilder

Nested classes/interfaces inherited from class com.google.protobuf.GeneratedMessageV3

com.google.protobuf.GeneratedMessageV3.BuilderParent, com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>,BuilderT extends com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT,BuilderT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.FieldAccessorTable, com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter

Nested classes/interfaces inherited from class com.google.protobuf.AbstractMessageLite

com.google.protobuf.AbstractMessageLite.InternalOneOfEnum

Field Summary

Fields

Modifier and Type	Field and Description
static int	ADDITIONAL_EXPERIMENTS_FIELD_NUMBER
static int	DISABLE_EARLY_STOPPING_FIELD_NUMBER
static int	EXPORT_EVALUATED_DATA_ITEMS_CONFIG_FIELD_NUMBER
static int	OPTIMIZATION_OBJECTIVE_FIELD_NUMBER
static int	OPTIMIZATION_OBJECTIVE_PRECISION_VALUE_FIELD_NUMBER
static int	OPTIMIZATION_OBJECTIVE_RECALL_VALUE_FIELD_NUMBER
static int	PREDICTION_TYPE_FIELD_NUMBER
static int	TARGET_COLUMN_FIELD_NUMBER
static int	TRAIN_BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER
static int	TRANSFORMATIONS_FIELD_NUMBER
static int	WEIGHT_COLUMN_NAME_FIELD_NUMBER

Fields inherited from class com.google.protobuf.GeneratedMessageV3

alwaysUseFieldBuilders, unknownFields

Fields inherited from class com.google.protobuf.AbstractMessage

memoizedSize

Fields inherited from class com.google.protobuf.AbstractMessageLite

memoizedHashCode

Method Summary

Modifier and Type	Method and Description
boolean	equals(Object obj)
String	getAdditionalExperiments(int index) Additional experiment flags for the Tables training pipeline.
com.google.protobuf.ByteString	getAdditionalExperimentsBytes(int index) Additional experiment flags for the Tables training pipeline.
int	getAdditionalExperimentsCount() Additional experiment flags for the Tables training pipeline.
com.google.protobuf.ProtocolStringList	getAdditionalExperimentsList() Additional experiment flags for the Tables training pipeline.
AutoMlTablesInputs.AdditionalOptimizationObjectiveConfigCase	getAdditionalOptimizationObjectiveConfigCase()
static AutoMlTablesInputs	getDefaultInstance()
AutoMlTablesInputs	getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
boolean	getDisableEarlyStopping() Use the entire training budget.
ExportEvaluatedDataItemsConfig	getExportEvaluatedDataItemsConfig() Configuration for exporting test set predictions to a BigQuery table.
ExportEvaluatedDataItemsConfigOrBuilder	getExportEvaluatedDataItemsConfigOrBuilder() Configuration for exporting test set predictions to a BigQuery table.
String	getOptimizationObjective() Objective function the model is optimizing towards.
com.google.protobuf.ByteString	getOptimizationObjectiveBytes() Objective function the model is optimizing towards.
float	getOptimizationObjectivePrecisionValue() Required when optimization_objective is "maximize-recall-at-precision".
float	getOptimizationObjectiveRecallValue() Required when optimization_objective is "maximize-precision-at-recall".
com.google.protobuf.Parser<AutoMlTablesInputs>	getParserForType()
String	getPredictionType() The type of prediction the Model is to produce.
com.google.protobuf.ByteString	getPredictionTypeBytes() The type of prediction the Model is to produce.
int	getSerializedSize()
String	getTargetColumn() The column name of the target column that the model is to predict.
com.google.protobuf.ByteString	getTargetColumnBytes() The column name of the target column that the model is to predict.
long	getTrainBudgetMilliNodeHours() Required.
AutoMlTablesInputs.Transformation	getTransformations(int index) Each transformation will apply transform function to given input column.
int	getTransformationsCount() Each transformation will apply transform function to given input column.
List<AutoMlTablesInputs.Transformation>	getTransformationsList() Each transformation will apply transform function to given input column.
AutoMlTablesInputs.TransformationOrBuilder	getTransformationsOrBuilder(int index) Each transformation will apply transform function to given input column.
List<? extends AutoMlTablesInputs.TransformationOrBuilder>	getTransformationsOrBuilderList() Each transformation will apply transform function to given input column.
String	getWeightColumnName() Column name that should be used as the weight column.
com.google.protobuf.ByteString	getWeightColumnNameBytes() Column name that should be used as the weight column.
boolean	hasExportEvaluatedDataItemsConfig() Configuration for exporting test set predictions to a BigQuery table.
int	hashCode()
boolean	hasOptimizationObjectivePrecisionValue() Required when optimization_objective is "maximize-recall-at-precision".
boolean	hasOptimizationObjectiveRecallValue() Required when optimization_objective is "maximize-precision-at-recall".
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
static AutoMlTablesInputs.Builder	newBuilder()
static AutoMlTablesInputs.Builder	newBuilder(AutoMlTablesInputs prototype)
AutoMlTablesInputs.Builder	newBuilderForType()
protected AutoMlTablesInputs.Builder	newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
protected Object	newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
static AutoMlTablesInputs	parseDelimitedFrom(InputStream input)
static AutoMlTablesInputs	parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static AutoMlTablesInputs	parseFrom(byte[] data)
static AutoMlTablesInputs	parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static AutoMlTablesInputs	parseFrom(ByteBuffer data)
static AutoMlTablesInputs	parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static AutoMlTablesInputs	parseFrom(com.google.protobuf.ByteString data)
static AutoMlTablesInputs	parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static AutoMlTablesInputs	parseFrom(com.google.protobuf.CodedInputStream input)
static AutoMlTablesInputs	parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static AutoMlTablesInputs	parseFrom(InputStream input)
static AutoMlTablesInputs	parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static com.google.protobuf.Parser<AutoMlTablesInputs>	parser()
AutoMlTablesInputs.Builder	toBuilder()
void	writeTo(com.google.protobuf.CodedOutputStream output)

Methods inherited from class com.google.protobuf.GeneratedMessageV3

canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, isStringEmpty, makeExtensionsImmutable, makeMutableCopy, makeMutableCopy, mergeFromAndMakeImmutableInternal, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBooleanList, newBuilderForType, newDoubleList, newFloatList, newIntList, newLongList, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTag

Methods inherited from class com.google.protobuf.AbstractMessage

findInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite

addAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeTo

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLite

toByteArray, toByteString, writeDelimitedTo, writeTo

Field Detail

OPTIMIZATION_OBJECTIVE_RECALL_VALUE_FIELD_NUMBER

public static final int OPTIMIZATION_OBJECTIVE_RECALL_VALUE_FIELD_NUMBER

See Also:

Constant Field Values

OPTIMIZATION_OBJECTIVE_PRECISION_VALUE_FIELD_NUMBER

public static final int OPTIMIZATION_OBJECTIVE_PRECISION_VALUE_FIELD_NUMBER

See Also:

Constant Field Values

PREDICTION_TYPE_FIELD_NUMBER

public static final int PREDICTION_TYPE_FIELD_NUMBER

See Also:

Constant Field Values

TARGET_COLUMN_FIELD_NUMBER

public static final int TARGET_COLUMN_FIELD_NUMBER

See Also:

Constant Field Values

TRANSFORMATIONS_FIELD_NUMBER

public static final int TRANSFORMATIONS_FIELD_NUMBER

See Also:

Constant Field Values

OPTIMIZATION_OBJECTIVE_FIELD_NUMBER

public static final int OPTIMIZATION_OBJECTIVE_FIELD_NUMBER

See Also:

Constant Field Values

TRAIN_BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER

public static final int TRAIN_BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER

See Also:

Constant Field Values

DISABLE_EARLY_STOPPING_FIELD_NUMBER

public static final int DISABLE_EARLY_STOPPING_FIELD_NUMBER

See Also:

Constant Field Values

WEIGHT_COLUMN_NAME_FIELD_NUMBER

public static final int WEIGHT_COLUMN_NAME_FIELD_NUMBER

See Also:

Constant Field Values

EXPORT_EVALUATED_DATA_ITEMS_CONFIG_FIELD_NUMBER

public static final int EXPORT_EVALUATED_DATA_ITEMS_CONFIG_FIELD_NUMBER

See Also:

Constant Field Values

ADDITIONAL_EXPERIMENTS_FIELD_NUMBER

public static final int ADDITIONAL_EXPERIMENTS_FIELD_NUMBER

See Also:

Constant Field Values

Method Detail

newInstance

protected Object newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)

Overrides:

newInstance in class com.google.protobuf.GeneratedMessageV3

getDescriptor

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable

protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3

getAdditionalOptimizationObjectiveConfigCase

public AutoMlTablesInputs.AdditionalOptimizationObjectiveConfigCase getAdditionalOptimizationObjectiveConfigCase()

Specified by:

getAdditionalOptimizationObjectiveConfigCase in interface AutoMlTablesInputsOrBuilder

hasOptimizationObjectiveRecallValue

public boolean hasOptimizationObjectiveRecallValue()

 Required when optimization_objective is "maximize-precision-at-recall".
 Must be between 0 and 1, inclusive.
 

float optimization_objective_recall_value = 5;

Specified by:

hasOptimizationObjectiveRecallValue in interface AutoMlTablesInputsOrBuilder

Returns:

Whether the optimizationObjectiveRecallValue field is set.

getOptimizationObjectiveRecallValue

public float getOptimizationObjectiveRecallValue()

 Required when optimization_objective is "maximize-precision-at-recall".
 Must be between 0 and 1, inclusive.
 

float optimization_objective_recall_value = 5;

Specified by:

getOptimizationObjectiveRecallValue in interface AutoMlTablesInputsOrBuilder

Returns:

The optimizationObjectiveRecallValue.

hasOptimizationObjectivePrecisionValue

public boolean hasOptimizationObjectivePrecisionValue()

 Required when optimization_objective is "maximize-recall-at-precision".
 Must be between 0 and 1, inclusive.
 

float optimization_objective_precision_value = 6;

Specified by:

hasOptimizationObjectivePrecisionValue in interface AutoMlTablesInputsOrBuilder

Returns:

Whether the optimizationObjectivePrecisionValue field is set.

getOptimizationObjectivePrecisionValue

public float getOptimizationObjectivePrecisionValue()

 Required when optimization_objective is "maximize-recall-at-precision".
 Must be between 0 and 1, inclusive.
 

float optimization_objective_precision_value = 6;

Specified by:

getOptimizationObjectivePrecisionValue in interface AutoMlTablesInputsOrBuilder

Returns:

The optimizationObjectivePrecisionValue.

getPredictionType

public String getPredictionType()

 The type of prediction the Model is to produce.
   "classification" - Predict one out of multiple target values is
                      picked for each row.
   "regression" - Predict a value based on its relation to other values.
                  This type is available only to columns that contain
                  semantically numeric values, i.e. integers or floating
                  point number, even if stored as e.g. strings.
 

string prediction_type = 1;

Specified by:

getPredictionType in interface AutoMlTablesInputsOrBuilder

Returns:

The predictionType.

getPredictionTypeBytes

public com.google.protobuf.ByteString getPredictionTypeBytes()

 The type of prediction the Model is to produce.
   "classification" - Predict one out of multiple target values is
                      picked for each row.
   "regression" - Predict a value based on its relation to other values.
                  This type is available only to columns that contain
                  semantically numeric values, i.e. integers or floating
                  point number, even if stored as e.g. strings.
 

string prediction_type = 1;

Specified by:

getPredictionTypeBytes in interface AutoMlTablesInputsOrBuilder

Returns:

The bytes for predictionType.

getTargetColumn

public String getTargetColumn()

 The column name of the target column that the model is to predict.
 

string target_column = 2;

Specified by:

getTargetColumn in interface AutoMlTablesInputsOrBuilder

Returns:

The targetColumn.

getTargetColumnBytes

public com.google.protobuf.ByteString getTargetColumnBytes()

 The column name of the target column that the model is to predict.
 

string target_column = 2;

Specified by:

getTargetColumnBytes in interface AutoMlTablesInputsOrBuilder

Returns:

The bytes for targetColumn.

getTransformationsList

public List<AutoMlTablesInputs.Transformation> getTransformationsList()

 Each transformation will apply transform function to given input column.
 And the result will be used for training.
 When creating transformation for BigQuery Struct column, the column should
 be flattened using "." as the delimiter.
 

repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;

Specified by:

getTransformationsList in interface AutoMlTablesInputsOrBuilder

getTransformationsOrBuilderList

public List<? extends AutoMlTablesInputs.TransformationOrBuilder> getTransformationsOrBuilderList()

 Each transformation will apply transform function to given input column.
 And the result will be used for training.
 When creating transformation for BigQuery Struct column, the column should
 be flattened using "." as the delimiter.
 

repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;

Specified by:

getTransformationsOrBuilderList in interface AutoMlTablesInputsOrBuilder

getTransformationsCount

public int getTransformationsCount()

 Each transformation will apply transform function to given input column.
 And the result will be used for training.
 When creating transformation for BigQuery Struct column, the column should
 be flattened using "." as the delimiter.
 

repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;

Specified by:

getTransformationsCount in interface AutoMlTablesInputsOrBuilder

getTransformations

public AutoMlTablesInputs.Transformation getTransformations(int index)

 Each transformation will apply transform function to given input column.
 And the result will be used for training.
 When creating transformation for BigQuery Struct column, the column should
 be flattened using "." as the delimiter.
 

repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;

Specified by:

getTransformations in interface AutoMlTablesInputsOrBuilder

getTransformationsOrBuilder

public AutoMlTablesInputs.TransformationOrBuilder getTransformationsOrBuilder(int index)

 Each transformation will apply transform function to given input column.
 And the result will be used for training.
 When creating transformation for BigQuery Struct column, the column should
 be flattened using "." as the delimiter.
 

repeated .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation transformations = 3;

Specified by:

getTransformationsOrBuilder in interface AutoMlTablesInputsOrBuilder

getOptimizationObjective

public String getOptimizationObjective()

 Objective function the model is optimizing towards. The training process
 creates a model that maximizes/minimizes the value of the objective
 function over the validation set.

 The supported optimization objectives depend on the prediction type.
 If the field is not set, a default objective function is used.

 classification (binary):
   "maximize-au-roc" (default) - Maximize the area under the receiver
                                 operating characteristic (ROC) curve.
   "minimize-log-loss" - Minimize log loss.
   "maximize-au-prc" - Maximize the area under the precision-recall curve.
   "maximize-precision-at-recall" - Maximize precision for a specified
                                   recall value.
   "maximize-recall-at-precision" - Maximize recall for a specified
                                    precision value.

 classification (multi-class):
   "minimize-log-loss" (default) - Minimize log loss.

 regression:
   "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
   "minimize-mae" - Minimize mean-absolute error (MAE).
   "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
 

string optimization_objective = 4;

Specified by:

getOptimizationObjective in interface AutoMlTablesInputsOrBuilder

Returns:

The optimizationObjective.

getOptimizationObjectiveBytes

public com.google.protobuf.ByteString getOptimizationObjectiveBytes()

 Objective function the model is optimizing towards. The training process
 creates a model that maximizes/minimizes the value of the objective
 function over the validation set.

 The supported optimization objectives depend on the prediction type.
 If the field is not set, a default objective function is used.

 classification (binary):
   "maximize-au-roc" (default) - Maximize the area under the receiver
                                 operating characteristic (ROC) curve.
   "minimize-log-loss" - Minimize log loss.
   "maximize-au-prc" - Maximize the area under the precision-recall curve.
   "maximize-precision-at-recall" - Maximize precision for a specified
                                   recall value.
   "maximize-recall-at-precision" - Maximize recall for a specified
                                    precision value.

 classification (multi-class):
   "minimize-log-loss" (default) - Minimize log loss.

 regression:
   "minimize-rmse" (default) - Minimize root-mean-squared error (RMSE).
   "minimize-mae" - Minimize mean-absolute error (MAE).
   "minimize-rmsle" - Minimize root-mean-squared log error (RMSLE).
 

string optimization_objective = 4;

Specified by:

getOptimizationObjectiveBytes in interface AutoMlTablesInputsOrBuilder

Returns:

The bytes for optimizationObjective.

getTrainBudgetMilliNodeHours

public long getTrainBudgetMilliNodeHours()

 Required. The train budget of creating this model, expressed in milli node
 hours i.e. 1,000 value in this field means 1 node hour.

 The training cost of the model will not exceed this budget. The final cost
 will be attempted to be close to the budget, though may end up being (even)
 noticeably smaller - at the backend's discretion. This especially may
 happen when further model training ceases to provide any improvements.

 If the budget is set to a value known to be insufficient to train a
 model for the given dataset, the training won't be attempted and
 will error.

 The train budget must be between 1,000 and 72,000 milli node hours,
 inclusive.
 

int64 train_budget_milli_node_hours = 7;

Specified by:

getTrainBudgetMilliNodeHours in interface AutoMlTablesInputsOrBuilder

Returns:

The trainBudgetMilliNodeHours.

getDisableEarlyStopping

public boolean getDisableEarlyStopping()

 Use the entire training budget. This disables the early stopping feature.
 By default, the early stopping feature is enabled, which means that AutoML
 Tables might stop training before the entire training budget has been used.
 

bool disable_early_stopping = 8;

Specified by:

getDisableEarlyStopping in interface AutoMlTablesInputsOrBuilder

Returns:

The disableEarlyStopping.

getWeightColumnName

public String getWeightColumnName()

 Column name that should be used as the weight column.
 Higher values in this column give more importance to the row
 during model training. The column must have numeric values between 0 and
 10000 inclusively; 0 means the row is ignored for training. If weight
 column field is not set, then all rows are assumed to have equal weight
 of 1.
 

string weight_column_name = 9;

Specified by:

getWeightColumnName in interface AutoMlTablesInputsOrBuilder

Returns:

The weightColumnName.

getWeightColumnNameBytes

public com.google.protobuf.ByteString getWeightColumnNameBytes()

 Column name that should be used as the weight column.
 Higher values in this column give more importance to the row
 during model training. The column must have numeric values between 0 and
 10000 inclusively; 0 means the row is ignored for training. If weight
 column field is not set, then all rows are assumed to have equal weight
 of 1.
 

string weight_column_name = 9;

Specified by:

getWeightColumnNameBytes in interface AutoMlTablesInputsOrBuilder

Returns:

The bytes for weightColumnName.

hasExportEvaluatedDataItemsConfig

public boolean hasExportEvaluatedDataItemsConfig()

 Configuration for exporting test set predictions to a BigQuery table. If
 this configuration is absent, then the export is not performed.
 

.google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;

Specified by:

hasExportEvaluatedDataItemsConfig in interface AutoMlTablesInputsOrBuilder

Returns:

Whether the exportEvaluatedDataItemsConfig field is set.

getExportEvaluatedDataItemsConfig

public ExportEvaluatedDataItemsConfig getExportEvaluatedDataItemsConfig()

 Configuration for exporting test set predictions to a BigQuery table. If
 this configuration is absent, then the export is not performed.
 

.google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;

Specified by:

getExportEvaluatedDataItemsConfig in interface AutoMlTablesInputsOrBuilder

Returns:

The exportEvaluatedDataItemsConfig.

getExportEvaluatedDataItemsConfigOrBuilder

public ExportEvaluatedDataItemsConfigOrBuilder getExportEvaluatedDataItemsConfigOrBuilder()

 Configuration for exporting test set predictions to a BigQuery table. If
 this configuration is absent, then the export is not performed.
 

.google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 10;

Specified by:

getExportEvaluatedDataItemsConfigOrBuilder in interface AutoMlTablesInputsOrBuilder

getAdditionalExperimentsList

public com.google.protobuf.ProtocolStringList getAdditionalExperimentsList()

 Additional experiment flags for the Tables training pipeline.
 

repeated string additional_experiments = 11;

Specified by:

getAdditionalExperimentsList in interface AutoMlTablesInputsOrBuilder

Returns:

A list containing the additionalExperiments.

getAdditionalExperimentsCount

public int getAdditionalExperimentsCount()

 Additional experiment flags for the Tables training pipeline.
 

repeated string additional_experiments = 11;

Specified by:

getAdditionalExperimentsCount in interface AutoMlTablesInputsOrBuilder

Returns:

The count of additionalExperiments.

getAdditionalExperiments

public String getAdditionalExperiments(int index)

 Additional experiment flags for the Tables training pipeline.
 

repeated string additional_experiments = 11;

Specified by:

getAdditionalExperiments in interface AutoMlTablesInputsOrBuilder

Parameters:

index - The index of the element to return.

Returns:

The additionalExperiments at the given index.

getAdditionalExperimentsBytes

public com.google.protobuf.ByteString getAdditionalExperimentsBytes(int index)

 Additional experiment flags for the Tables training pipeline.
 

repeated string additional_experiments = 11;

Specified by:

getAdditionalExperimentsBytes in interface AutoMlTablesInputsOrBuilder

Parameters:

index - The index of the value to return.

Returns:

The bytes of the additionalExperiments at the given index.

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3

writeTo

public void writeTo(com.google.protobuf.CodedOutputStream output)
             throws IOException

Specified by:

writeTo in interface com.google.protobuf.MessageLite

Overrides:

writeTo in class com.google.protobuf.GeneratedMessageV3

Throws:

IOException

getSerializedSize

public int getSerializedSize()

Specified by:

getSerializedSize in interface com.google.protobuf.MessageLite

Overrides:

getSerializedSize in class com.google.protobuf.GeneratedMessageV3

equals

public boolean equals(Object obj)

Specified by:

equals in interface com.google.protobuf.Message

Overrides:

equals in class com.google.protobuf.AbstractMessage

hashCode

public int hashCode()

Specified by:

hashCode in interface com.google.protobuf.Message

Overrides:

hashCode in class com.google.protobuf.AbstractMessage

parseFrom

public static AutoMlTablesInputs parseFrom(ByteBuffer data)
                                    throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static AutoMlTablesInputs parseFrom(ByteBuffer data,
                                           com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                    throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static AutoMlTablesInputs parseFrom(com.google.protobuf.ByteString data)
                                    throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static AutoMlTablesInputs parseFrom(com.google.protobuf.ByteString data,
                                           com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                    throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static AutoMlTablesInputs parseFrom(byte[] data)
                                    throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static AutoMlTablesInputs parseFrom(byte[] data,
                                           com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                    throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static AutoMlTablesInputs parseFrom(InputStream input)
                                    throws IOException

Throws:

IOException

parseFrom

public static AutoMlTablesInputs parseFrom(InputStream input,
                                           com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                    throws IOException

Throws:

IOException

parseDelimitedFrom

public static AutoMlTablesInputs parseDelimitedFrom(InputStream input)
                                             throws IOException

Throws:

IOException

parseDelimitedFrom

public static AutoMlTablesInputs parseDelimitedFrom(InputStream input,
                                                    com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                             throws IOException

Throws:

IOException

parseFrom

public static AutoMlTablesInputs parseFrom(com.google.protobuf.CodedInputStream input)
                                    throws IOException

Throws:

IOException

parseFrom

public static AutoMlTablesInputs parseFrom(com.google.protobuf.CodedInputStream input,
                                           com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                    throws IOException

Throws:

IOException

newBuilderForType

public AutoMlTablesInputs.Builder newBuilderForType()

Specified by:

newBuilderForType in interface com.google.protobuf.Message

Specified by:

newBuilderForType in interface com.google.protobuf.MessageLite

newBuilder

public static AutoMlTablesInputs.Builder newBuilder()

newBuilder

public static AutoMlTablesInputs.Builder newBuilder(AutoMlTablesInputs prototype)

toBuilder

public AutoMlTablesInputs.Builder toBuilder()

Specified by:

toBuilder in interface com.google.protobuf.Message

Specified by:

toBuilder in interface com.google.protobuf.MessageLite

newBuilderForType

protected AutoMlTablesInputs.Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)

Specified by:

newBuilderForType in class com.google.protobuf.GeneratedMessageV3

getDefaultInstance

public static AutoMlTablesInputs getDefaultInstance()

parser

public static com.google.protobuf.Parser<AutoMlTablesInputs> parser()

getParserForType

public com.google.protobuf.Parser<AutoMlTablesInputs> getParserForType()

Specified by:

getParserForType in interface com.google.protobuf.Message

Specified by:

getParserForType in interface com.google.protobuf.MessageLite

Overrides:

getParserForType in class com.google.protobuf.GeneratedMessageV3

getDefaultInstanceForType

public AutoMlTablesInputs getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder