com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition

Class AutoMlForecastingInputs

java.lang.Object

com.google.protobuf.AbstractMessageLite

com.google.protobuf.AbstractMessage

com.google.protobuf.GeneratedMessageV3

com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs

All Implemented Interfaces:

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

public final class AutoMlForecastingInputs
extends com.google.protobuf.GeneratedMessageV3
implements AutoMlForecastingInputsOrBuilder

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	AutoMlForecastingInputs.Builder Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs
static class	AutoMlForecastingInputs.Granularity A duration of time expressed in time granularity units.
static interface	AutoMlForecastingInputs.GranularityOrBuilder
static class	AutoMlForecastingInputs.Transformation Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation
static interface	AutoMlForecastingInputs.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	AVAILABLE_AT_FORECAST_COLUMNS_FIELD_NUMBER
static int	CONTEXT_WINDOW_FIELD_NUMBER
static int	DATA_GRANULARITY_FIELD_NUMBER
static int	EXPORT_EVALUATED_DATA_ITEMS_CONFIG_FIELD_NUMBER
static int	FORECAST_HORIZON_FIELD_NUMBER
static int	OPTIMIZATION_OBJECTIVE_FIELD_NUMBER
static int	QUANTILES_FIELD_NUMBER
static int	TARGET_COLUMN_FIELD_NUMBER
static int	TIME_COLUMN_FIELD_NUMBER
static int	TIME_SERIES_ATTRIBUTE_COLUMNS_FIELD_NUMBER
static int	TIME_SERIES_IDENTIFIER_COLUMN_FIELD_NUMBER
static int	TRAIN_BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER
static int	TRANSFORMATIONS_FIELD_NUMBER
static int	UNAVAILABLE_AT_FORECAST_COLUMNS_FIELD_NUMBER
static int	VALIDATION_OPTIONS_FIELD_NUMBER
static int	WEIGHT_COLUMN_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 time series forcasting training.
com.google.protobuf.ByteString	getAdditionalExperimentsBytes(int index) Additional experiment flags for the time series forcasting training.
int	getAdditionalExperimentsCount() Additional experiment flags for the time series forcasting training.
com.google.protobuf.ProtocolStringList	getAdditionalExperimentsList() Additional experiment flags for the time series forcasting training.
String	getAvailableAtForecastColumns(int index) Names of columns that are available and provided when a forecast is requested.
com.google.protobuf.ByteString	getAvailableAtForecastColumnsBytes(int index) Names of columns that are available and provided when a forecast is requested.
int	getAvailableAtForecastColumnsCount() Names of columns that are available and provided when a forecast is requested.
com.google.protobuf.ProtocolStringList	getAvailableAtForecastColumnsList() Names of columns that are available and provided when a forecast is requested.
long	getContextWindow() The amount of time into the past training and prediction data is used for model training and prediction respectively.
AutoMlForecastingInputs.Granularity	getDataGranularity() Expected difference in time granularity between rows in the data.
AutoMlForecastingInputs.GranularityOrBuilder	getDataGranularityOrBuilder() Expected difference in time granularity between rows in the data.
static AutoMlForecastingInputs	getDefaultInstance()
AutoMlForecastingInputs	getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
ExportEvaluatedDataItemsConfig	getExportEvaluatedDataItemsConfig() Configuration for exporting test set predictions to a BigQuery table.
ExportEvaluatedDataItemsConfigOrBuilder	getExportEvaluatedDataItemsConfigOrBuilder() Configuration for exporting test set predictions to a BigQuery table.
long	getForecastHorizon() The amount of time into the future for which forecasted values for the target are returned.
String	getOptimizationObjective() Objective function the model is optimizing towards.
com.google.protobuf.ByteString	getOptimizationObjectiveBytes() Objective function the model is optimizing towards.
com.google.protobuf.Parser<AutoMlForecastingInputs>	getParserForType()
double	getQuantiles(int index) Quantiles to use for minimize-quantile-loss `optimization_objective`.
int	getQuantilesCount() Quantiles to use for minimize-quantile-loss `optimization_objective`.
List<Double>	getQuantilesList() Quantiles to use for minimize-quantile-loss `optimization_objective`.
int	getSerializedSize()
String	getTargetColumn() The name of the column that the model is to predict.
com.google.protobuf.ByteString	getTargetColumnBytes() The name of the column that the model is to predict.
String	getTimeColumn() The name of the column that identifies time order in the time series.
com.google.protobuf.ByteString	getTimeColumnBytes() The name of the column that identifies time order in the time series.
String	getTimeSeriesAttributeColumns(int index) Column names that should be used as attribute columns.
com.google.protobuf.ByteString	getTimeSeriesAttributeColumnsBytes(int index) Column names that should be used as attribute columns.
int	getTimeSeriesAttributeColumnsCount() Column names that should be used as attribute columns.
com.google.protobuf.ProtocolStringList	getTimeSeriesAttributeColumnsList() Column names that should be used as attribute columns.
String	getTimeSeriesIdentifierColumn() The name of the column that identifies the time series.
com.google.protobuf.ByteString	getTimeSeriesIdentifierColumnBytes() The name of the column that identifies the time series.
long	getTrainBudgetMilliNodeHours() Required.
AutoMlForecastingInputs.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<AutoMlForecastingInputs.Transformation>	getTransformationsList() Each transformation will apply transform function to given input column.
AutoMlForecastingInputs.TransformationOrBuilder	getTransformationsOrBuilder(int index) Each transformation will apply transform function to given input column.
List<? extends AutoMlForecastingInputs.TransformationOrBuilder>	getTransformationsOrBuilderList() Each transformation will apply transform function to given input column.
String	getUnavailableAtForecastColumns(int index) Names of columns that are unavailable when a forecast is requested.
com.google.protobuf.ByteString	getUnavailableAtForecastColumnsBytes(int index) Names of columns that are unavailable when a forecast is requested.
int	getUnavailableAtForecastColumnsCount() Names of columns that are unavailable when a forecast is requested.
com.google.protobuf.ProtocolStringList	getUnavailableAtForecastColumnsList() Names of columns that are unavailable when a forecast is requested.
String	getValidationOptions() Validation options for the data validation component.
com.google.protobuf.ByteString	getValidationOptionsBytes() Validation options for the data validation component.
String	getWeightColumn() Column name that should be used as the weight column.
com.google.protobuf.ByteString	getWeightColumnBytes() Column name that should be used as the weight column.
boolean	hasDataGranularity() Expected difference in time granularity between rows in the data.
boolean	hasExportEvaluatedDataItemsConfig() Configuration for exporting test set predictions to a BigQuery table.
int	hashCode()
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
static AutoMlForecastingInputs.Builder	newBuilder()
static AutoMlForecastingInputs.Builder	newBuilder(AutoMlForecastingInputs prototype)
AutoMlForecastingInputs.Builder	newBuilderForType()
protected AutoMlForecastingInputs.Builder	newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
protected Object	newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
static AutoMlForecastingInputs	parseDelimitedFrom(InputStream input)
static AutoMlForecastingInputs	parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static AutoMlForecastingInputs	parseFrom(byte[] data)
static AutoMlForecastingInputs	parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static AutoMlForecastingInputs	parseFrom(ByteBuffer data)
static AutoMlForecastingInputs	parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static AutoMlForecastingInputs	parseFrom(com.google.protobuf.ByteString data)
static AutoMlForecastingInputs	parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static AutoMlForecastingInputs	parseFrom(com.google.protobuf.CodedInputStream input)
static AutoMlForecastingInputs	parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static AutoMlForecastingInputs	parseFrom(InputStream input)
static AutoMlForecastingInputs	parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static com.google.protobuf.Parser<AutoMlForecastingInputs>	parser()
AutoMlForecastingInputs.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

TARGET_COLUMN_FIELD_NUMBER

public static final int TARGET_COLUMN_FIELD_NUMBER

See Also:

Constant Field Values

TIME_SERIES_IDENTIFIER_COLUMN_FIELD_NUMBER

public static final int TIME_SERIES_IDENTIFIER_COLUMN_FIELD_NUMBER

See Also:

Constant Field Values

TIME_COLUMN_FIELD_NUMBER

public static final int TIME_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

WEIGHT_COLUMN_FIELD_NUMBER

public static final int WEIGHT_COLUMN_FIELD_NUMBER

See Also:

Constant Field Values

TIME_SERIES_ATTRIBUTE_COLUMNS_FIELD_NUMBER

public static final int TIME_SERIES_ATTRIBUTE_COLUMNS_FIELD_NUMBER

See Also:

Constant Field Values

UNAVAILABLE_AT_FORECAST_COLUMNS_FIELD_NUMBER

public static final int UNAVAILABLE_AT_FORECAST_COLUMNS_FIELD_NUMBER

See Also:

Constant Field Values

AVAILABLE_AT_FORECAST_COLUMNS_FIELD_NUMBER

public static final int AVAILABLE_AT_FORECAST_COLUMNS_FIELD_NUMBER

See Also:

Constant Field Values

DATA_GRANULARITY_FIELD_NUMBER

public static final int DATA_GRANULARITY_FIELD_NUMBER

See Also:

Constant Field Values

FORECAST_HORIZON_FIELD_NUMBER

public static final int FORECAST_HORIZON_FIELD_NUMBER

See Also:

Constant Field Values

CONTEXT_WINDOW_FIELD_NUMBER

public static final int CONTEXT_WINDOW_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

QUANTILES_FIELD_NUMBER

public static final int QUANTILES_FIELD_NUMBER

See Also:

Constant Field Values

VALIDATION_OPTIONS_FIELD_NUMBER

public static final int VALIDATION_OPTIONS_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

getTargetColumn

public String getTargetColumn()

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

string target_column = 1;

Specified by:

getTargetColumn in interface AutoMlForecastingInputsOrBuilder

Returns:

The targetColumn.

getTargetColumnBytes

public com.google.protobuf.ByteString getTargetColumnBytes()

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

string target_column = 1;

Specified by:

getTargetColumnBytes in interface AutoMlForecastingInputsOrBuilder

Returns:

The bytes for targetColumn.

getTimeSeriesIdentifierColumn

public String getTimeSeriesIdentifierColumn()

 The name of the column that identifies the time series.
 

string time_series_identifier_column = 2;

Specified by:

getTimeSeriesIdentifierColumn in interface AutoMlForecastingInputsOrBuilder

Returns:

The timeSeriesIdentifierColumn.

getTimeSeriesIdentifierColumnBytes

public com.google.protobuf.ByteString getTimeSeriesIdentifierColumnBytes()

 The name of the column that identifies the time series.
 

string time_series_identifier_column = 2;

Specified by:

getTimeSeriesIdentifierColumnBytes in interface AutoMlForecastingInputsOrBuilder

Returns:

The bytes for timeSeriesIdentifierColumn.

getTimeColumn

public String getTimeColumn()

 The name of the column that identifies time order in the time series.
 

string time_column = 3;

Specified by:

getTimeColumn in interface AutoMlForecastingInputsOrBuilder

Returns:

The timeColumn.

getTimeColumnBytes

public com.google.protobuf.ByteString getTimeColumnBytes()

 The name of the column that identifies time order in the time series.
 

string time_column = 3;

Specified by:

getTimeColumnBytes in interface AutoMlForecastingInputsOrBuilder

Returns:

The bytes for timeColumn.

getTransformationsList

public List<AutoMlForecastingInputs.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.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;

Specified by:

getTransformationsList in interface AutoMlForecastingInputsOrBuilder

getTransformationsOrBuilderList

public List<? extends AutoMlForecastingInputs.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.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;

Specified by:

getTransformationsOrBuilderList in interface AutoMlForecastingInputsOrBuilder

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.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;

Specified by:

getTransformationsCount in interface AutoMlForecastingInputsOrBuilder

getTransformations

public AutoMlForecastingInputs.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.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;

Specified by:

getTransformations in interface AutoMlForecastingInputsOrBuilder

getTransformationsOrBuilder

public AutoMlForecastingInputs.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.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation transformations = 4;

Specified by:

getTransformationsOrBuilder in interface AutoMlForecastingInputsOrBuilder

getOptimizationObjective

public String getOptimizationObjective()

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

 The supported optimization objectives:

   * "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).

   * "minimize-rmspe" - Minimize root-mean-squared percentage error (RMSPE).

   * "minimize-wape-mae" - Minimize the combination of weighted absolute
     percentage error (WAPE) and mean-absolute-error (MAE).

   * "minimize-quantile-loss" - Minimize the quantile loss at the quantiles
     defined in `quantiles`.
 

string optimization_objective = 5;

Specified by:

getOptimizationObjective in interface AutoMlForecastingInputsOrBuilder

Returns:

The optimizationObjective.

getOptimizationObjectiveBytes

public com.google.protobuf.ByteString getOptimizationObjectiveBytes()

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

 The supported optimization objectives:

   * "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).

   * "minimize-rmspe" - Minimize root-mean-squared percentage error (RMSPE).

   * "minimize-wape-mae" - Minimize the combination of weighted absolute
     percentage error (WAPE) and mean-absolute-error (MAE).

   * "minimize-quantile-loss" - Minimize the quantile loss at the quantiles
     defined in `quantiles`.
 

string optimization_objective = 5;

Specified by:

getOptimizationObjectiveBytes in interface AutoMlForecastingInputsOrBuilder

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 = 6;

Specified by:

getTrainBudgetMilliNodeHours in interface AutoMlForecastingInputsOrBuilder

Returns:

The trainBudgetMilliNodeHours.

getWeightColumn

public String getWeightColumn()

 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 = 7;

Specified by:

getWeightColumn in interface AutoMlForecastingInputsOrBuilder

Returns:

The weightColumn.

getWeightColumnBytes

public com.google.protobuf.ByteString getWeightColumnBytes()

 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 = 7;

Specified by:

getWeightColumnBytes in interface AutoMlForecastingInputsOrBuilder

Returns:

The bytes for weightColumn.

getTimeSeriesAttributeColumnsList

public com.google.protobuf.ProtocolStringList getTimeSeriesAttributeColumnsList()

 Column names that should be used as attribute columns.
 The value of these columns does not vary as a function of time.
 For example, store ID or item color.
 

repeated string time_series_attribute_columns = 19;

Specified by:

getTimeSeriesAttributeColumnsList in interface AutoMlForecastingInputsOrBuilder

Returns:

A list containing the timeSeriesAttributeColumns.

getTimeSeriesAttributeColumnsCount

public int getTimeSeriesAttributeColumnsCount()

 Column names that should be used as attribute columns.
 The value of these columns does not vary as a function of time.
 For example, store ID or item color.
 

repeated string time_series_attribute_columns = 19;

Specified by:

getTimeSeriesAttributeColumnsCount in interface AutoMlForecastingInputsOrBuilder

Returns:

The count of timeSeriesAttributeColumns.

getTimeSeriesAttributeColumns

public String getTimeSeriesAttributeColumns(int index)

 Column names that should be used as attribute columns.
 The value of these columns does not vary as a function of time.
 For example, store ID or item color.
 

repeated string time_series_attribute_columns = 19;

Specified by:

getTimeSeriesAttributeColumns in interface AutoMlForecastingInputsOrBuilder

Parameters:

index - The index of the element to return.

Returns:

The timeSeriesAttributeColumns at the given index.

getTimeSeriesAttributeColumnsBytes

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

 Column names that should be used as attribute columns.
 The value of these columns does not vary as a function of time.
 For example, store ID or item color.
 

repeated string time_series_attribute_columns = 19;

Specified by:

getTimeSeriesAttributeColumnsBytes in interface AutoMlForecastingInputsOrBuilder

Parameters:

index - The index of the value to return.

Returns:

The bytes of the timeSeriesAttributeColumns at the given index.

getUnavailableAtForecastColumnsList

public com.google.protobuf.ProtocolStringList getUnavailableAtForecastColumnsList()

 Names of columns that are unavailable when a forecast is requested.
 This column contains information for the given entity (identified
 by the time_series_identifier_column) that is unknown before the forecast
 For example, actual weather on a given day.
 

repeated string unavailable_at_forecast_columns = 20;

Specified by:

getUnavailableAtForecastColumnsList in interface AutoMlForecastingInputsOrBuilder

Returns:

A list containing the unavailableAtForecastColumns.

getUnavailableAtForecastColumnsCount

public int getUnavailableAtForecastColumnsCount()

 Names of columns that are unavailable when a forecast is requested.
 This column contains information for the given entity (identified
 by the time_series_identifier_column) that is unknown before the forecast
 For example, actual weather on a given day.
 

repeated string unavailable_at_forecast_columns = 20;

Specified by:

getUnavailableAtForecastColumnsCount in interface AutoMlForecastingInputsOrBuilder

Returns:

The count of unavailableAtForecastColumns.

getUnavailableAtForecastColumns

public String getUnavailableAtForecastColumns(int index)

 Names of columns that are unavailable when a forecast is requested.
 This column contains information for the given entity (identified
 by the time_series_identifier_column) that is unknown before the forecast
 For example, actual weather on a given day.
 

repeated string unavailable_at_forecast_columns = 20;

Specified by:

getUnavailableAtForecastColumns in interface AutoMlForecastingInputsOrBuilder

Parameters:

index - The index of the element to return.

Returns:

The unavailableAtForecastColumns at the given index.

getUnavailableAtForecastColumnsBytes

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

 Names of columns that are unavailable when a forecast is requested.
 This column contains information for the given entity (identified
 by the time_series_identifier_column) that is unknown before the forecast
 For example, actual weather on a given day.
 

repeated string unavailable_at_forecast_columns = 20;

Specified by:

getUnavailableAtForecastColumnsBytes in interface AutoMlForecastingInputsOrBuilder

Parameters:

index - The index of the value to return.

Returns:

The bytes of the unavailableAtForecastColumns at the given index.

getAvailableAtForecastColumnsList

public com.google.protobuf.ProtocolStringList getAvailableAtForecastColumnsList()

 Names of columns that are available and provided when a forecast
 is requested. These columns
 contain information for the given entity (identified by the
 time_series_identifier_column column) that is known at forecast.
 For example, predicted weather for a specific day.
 

repeated string available_at_forecast_columns = 21;

Specified by:

getAvailableAtForecastColumnsList in interface AutoMlForecastingInputsOrBuilder

Returns:

A list containing the availableAtForecastColumns.

getAvailableAtForecastColumnsCount

public int getAvailableAtForecastColumnsCount()

 Names of columns that are available and provided when a forecast
 is requested. These columns
 contain information for the given entity (identified by the
 time_series_identifier_column column) that is known at forecast.
 For example, predicted weather for a specific day.
 

repeated string available_at_forecast_columns = 21;

Specified by:

getAvailableAtForecastColumnsCount in interface AutoMlForecastingInputsOrBuilder

Returns:

The count of availableAtForecastColumns.

getAvailableAtForecastColumns

public String getAvailableAtForecastColumns(int index)

 Names of columns that are available and provided when a forecast
 is requested. These columns
 contain information for the given entity (identified by the
 time_series_identifier_column column) that is known at forecast.
 For example, predicted weather for a specific day.
 

repeated string available_at_forecast_columns = 21;

Specified by:

getAvailableAtForecastColumns in interface AutoMlForecastingInputsOrBuilder

Parameters:

index - The index of the element to return.

Returns:

The availableAtForecastColumns at the given index.

getAvailableAtForecastColumnsBytes

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

 Names of columns that are available and provided when a forecast
 is requested. These columns
 contain information for the given entity (identified by the
 time_series_identifier_column column) that is known at forecast.
 For example, predicted weather for a specific day.
 

repeated string available_at_forecast_columns = 21;

Specified by:

getAvailableAtForecastColumnsBytes in interface AutoMlForecastingInputsOrBuilder

Parameters:

index - The index of the value to return.

Returns:

The bytes of the availableAtForecastColumns at the given index.

hasDataGranularity

public boolean hasDataGranularity()

 Expected difference in time granularity between rows in the data.
 

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity data_granularity = 22;

Specified by:

hasDataGranularity in interface AutoMlForecastingInputsOrBuilder

Returns:

Whether the dataGranularity field is set.

getDataGranularity

public AutoMlForecastingInputs.Granularity getDataGranularity()

 Expected difference in time granularity between rows in the data.
 

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity data_granularity = 22;

Specified by:

getDataGranularity in interface AutoMlForecastingInputsOrBuilder

Returns:

The dataGranularity.

getDataGranularityOrBuilder

public AutoMlForecastingInputs.GranularityOrBuilder getDataGranularityOrBuilder()

 Expected difference in time granularity between rows in the data.
 

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity data_granularity = 22;

Specified by:

getDataGranularityOrBuilder in interface AutoMlForecastingInputsOrBuilder

getForecastHorizon

public long getForecastHorizon()

 The amount of time into the future for which forecasted values for the
 target are returned. Expressed in number of units defined by the
 `data_granularity` field.
 

int64 forecast_horizon = 23;

Specified by:

getForecastHorizon in interface AutoMlForecastingInputsOrBuilder

Returns:

The forecastHorizon.

getContextWindow

public long getContextWindow()

 The amount of time into the past training and prediction data is used
 for model training and prediction respectively. Expressed in number of
 units defined by the `data_granularity` field.
 

int64 context_window = 24;

Specified by:

getContextWindow in interface AutoMlForecastingInputsOrBuilder

Returns:

The contextWindow.

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.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 15;

Specified by:

hasExportEvaluatedDataItemsConfig in interface AutoMlForecastingInputsOrBuilder

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.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 15;

Specified by:

getExportEvaluatedDataItemsConfig in interface AutoMlForecastingInputsOrBuilder

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.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig export_evaluated_data_items_config = 15;

Specified by:

getExportEvaluatedDataItemsConfigOrBuilder in interface AutoMlForecastingInputsOrBuilder

getQuantilesList

public List<Double> getQuantilesList()

 Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
 the value of optimization_objective is minimize-quantile-loss. Represents
 the percent quantiles to use for that objective. Quantiles must be unique.
 

repeated double quantiles = 16;

Specified by:

getQuantilesList in interface AutoMlForecastingInputsOrBuilder

Returns:

A list containing the quantiles.

getQuantilesCount

public int getQuantilesCount()

 Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
 the value of optimization_objective is minimize-quantile-loss. Represents
 the percent quantiles to use for that objective. Quantiles must be unique.
 

repeated double quantiles = 16;

Specified by:

getQuantilesCount in interface AutoMlForecastingInputsOrBuilder

Returns:

The count of quantiles.

getQuantiles

public double getQuantiles(int index)

 Quantiles to use for minimize-quantile-loss `optimization_objective`. Up to
 5 quantiles are allowed of values between 0 and 1, exclusive. Required if
 the value of optimization_objective is minimize-quantile-loss. Represents
 the percent quantiles to use for that objective. Quantiles must be unique.
 

repeated double quantiles = 16;

Specified by:

getQuantiles in interface AutoMlForecastingInputsOrBuilder

Parameters:

index - The index of the element to return.

Returns:

The quantiles at the given index.

getValidationOptions

public String getValidationOptions()

 Validation options for the data validation component. The available options
 are:

   * "fail-pipeline" - default, will validate against the validation and
      fail the pipeline if it fails.

   * "ignore-validation" - ignore the results of the validation and continue
 

string validation_options = 17;

Specified by:

getValidationOptions in interface AutoMlForecastingInputsOrBuilder

Returns:

The validationOptions.

getValidationOptionsBytes

public com.google.protobuf.ByteString getValidationOptionsBytes()

 Validation options for the data validation component. The available options
 are:

   * "fail-pipeline" - default, will validate against the validation and
      fail the pipeline if it fails.

   * "ignore-validation" - ignore the results of the validation and continue
 

string validation_options = 17;

Specified by:

getValidationOptionsBytes in interface AutoMlForecastingInputsOrBuilder

Returns:

The bytes for validationOptions.

getAdditionalExperimentsList

public com.google.protobuf.ProtocolStringList getAdditionalExperimentsList()

 Additional experiment flags for the time series forcasting training.
 

repeated string additional_experiments = 25;

Specified by:

getAdditionalExperimentsList in interface AutoMlForecastingInputsOrBuilder

Returns:

A list containing the additionalExperiments.

getAdditionalExperimentsCount

public int getAdditionalExperimentsCount()

 Additional experiment flags for the time series forcasting training.
 

repeated string additional_experiments = 25;

Specified by:

getAdditionalExperimentsCount in interface AutoMlForecastingInputsOrBuilder

Returns:

The count of additionalExperiments.

getAdditionalExperiments

public String getAdditionalExperiments(int index)

 Additional experiment flags for the time series forcasting training.
 

repeated string additional_experiments = 25;

Specified by:

getAdditionalExperiments in interface AutoMlForecastingInputsOrBuilder

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 time series forcasting training.
 

repeated string additional_experiments = 25;

Specified by:

getAdditionalExperimentsBytes in interface AutoMlForecastingInputsOrBuilder

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 AutoMlForecastingInputs parseFrom(ByteBuffer data)
                                         throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

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

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

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

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

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

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

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

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

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

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static AutoMlForecastingInputs parseFrom(InputStream input)
                                         throws IOException

Throws:

IOException

parseFrom

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

Throws:

IOException

parseDelimitedFrom

public static AutoMlForecastingInputs parseDelimitedFrom(InputStream input)
                                                  throws IOException

Throws:

IOException

parseDelimitedFrom

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

Throws:

IOException

parseFrom

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

Throws:

IOException

parseFrom

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

Throws:

IOException

newBuilderForType

public AutoMlForecastingInputs.Builder newBuilderForType()

Specified by:

newBuilderForType in interface com.google.protobuf.Message

Specified by:

newBuilderForType in interface com.google.protobuf.MessageLite

newBuilder

public static AutoMlForecastingInputs.Builder newBuilder()

newBuilder

public static AutoMlForecastingInputs.Builder newBuilder(AutoMlForecastingInputs prototype)

toBuilder

public AutoMlForecastingInputs.Builder toBuilder()

Specified by:

toBuilder in interface com.google.protobuf.Message

Specified by:

toBuilder in interface com.google.protobuf.MessageLite

newBuilderForType

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

Specified by:

newBuilderForType in class com.google.protobuf.GeneratedMessageV3

getDefaultInstance

public static AutoMlForecastingInputs getDefaultInstance()

parser

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

getParserForType

public com.google.protobuf.Parser<AutoMlForecastingInputs> 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 AutoMlForecastingInputs getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder