Uses of Class
com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Builder

Packages that use AutoMlForecastingInputs.Builder

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

Uses of AutoMlForecastingInputs.Builder in com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition

Methods in com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition that return AutoMlForecastingInputs.Builder

Modifier and Type	Method and Description
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.addAdditionalExperiments(String value) Additional experiment flags for the time series forcasting training.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.addAdditionalExperimentsBytes(com.google.protobuf.ByteString value) Additional experiment flags for the time series forcasting training.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.addAllAdditionalExperiments(Iterable<String> values) Additional experiment flags for the time series forcasting training.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.addAllAvailableAtForecastColumns(Iterable<String> values) Names of columns that are available and provided when a forecast is requested.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.addAllQuantiles(Iterable<? extends Double> values) Quantiles to use for minimize-quantile-loss `optimization_objective`.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.addAllTimeSeriesAttributeColumns(Iterable<String> values) Column names that should be used as attribute columns.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.addAllTransformations(Iterable<? extends AutoMlForecastingInputs.Transformation> values) Each transformation will apply transform function to given input column.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.addAllUnavailableAtForecastColumns(Iterable<String> values) Names of columns that are unavailable when a forecast is requested.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.addAvailableAtForecastColumns(String value) Names of columns that are available and provided when a forecast is requested.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.addAvailableAtForecastColumnsBytes(com.google.protobuf.ByteString value) Names of columns that are available and provided when a forecast is requested.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.addQuantiles(double value) Quantiles to use for minimize-quantile-loss `optimization_objective`.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.addTimeSeriesAttributeColumns(String value) Column names that should be used as attribute columns.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.addTimeSeriesAttributeColumnsBytes(com.google.protobuf.ByteString value) Column names that should be used as attribute columns.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.addTransformations(AutoMlForecastingInputs.Transformation.Builder builderForValue) Each transformation will apply transform function to given input column.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.addTransformations(AutoMlForecastingInputs.Transformation value) Each transformation will apply transform function to given input column.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.addTransformations(int index, AutoMlForecastingInputs.Transformation.Builder builderForValue) Each transformation will apply transform function to given input column.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.addTransformations(int index, AutoMlForecastingInputs.Transformation value) Each transformation will apply transform function to given input column.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.addUnavailableAtForecastColumns(String value) Names of columns that are unavailable when a forecast is requested.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.addUnavailableAtForecastColumnsBytes(com.google.protobuf.ByteString value) Names of columns that are unavailable when a forecast is requested.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.clear()
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.clearAdditionalExperiments() Additional experiment flags for the time series forcasting training.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.clearAvailableAtForecastColumns() Names of columns that are available and provided when a forecast is requested.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.clearContextWindow() The amount of time into the past training and prediction data is used for model training and prediction respectively.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.clearDataGranularity() Expected difference in time granularity between rows in the data.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.clearExportEvaluatedDataItemsConfig() Configuration for exporting test set predictions to a BigQuery table.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.clearForecastHorizon() The amount of time into the future for which forecasted values for the target are returned.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.clearOptimizationObjective() Objective function the model is optimizing towards.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.clearQuantiles() Quantiles to use for minimize-quantile-loss `optimization_objective`.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.clearTargetColumn() The name of the column that the model is to predict.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.clearTimeColumn() The name of the column that identifies time order in the time series.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.clearTimeSeriesAttributeColumns() Column names that should be used as attribute columns.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.clearTimeSeriesIdentifierColumn() The name of the column that identifies the time series.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.clearTrainBudgetMilliNodeHours() Required.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.clearTransformations() Each transformation will apply transform function to given input column.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.clearUnavailableAtForecastColumns() Names of columns that are unavailable when a forecast is requested.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.clearValidationOptions() Validation options for the data validation component.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.clearWeightColumn() Column name that should be used as the weight column.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.clone()
AutoMlForecastingInputs.Builder	AutoMlForecasting.Builder.getInputsBuilder() The input parameters of this TrainingJob.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.mergeDataGranularity(AutoMlForecastingInputs.Granularity value) Expected difference in time granularity between rows in the data.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.mergeExportEvaluatedDataItemsConfig(ExportEvaluatedDataItemsConfig value) Configuration for exporting test set predictions to a BigQuery table.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.mergeFrom(AutoMlForecastingInputs other)
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.mergeFrom(com.google.protobuf.Message other)
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
static AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.newBuilder()
static AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.newBuilder(AutoMlForecastingInputs prototype)
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.newBuilderForType()
protected AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.removeTransformations(int index) Each transformation will apply transform function to given input column.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setAdditionalExperiments(int index, String value) Additional experiment flags for the time series forcasting training.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setAvailableAtForecastColumns(int index, String value) Names of columns that are available and provided when a forecast is requested.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setContextWindow(long value) The amount of time into the past training and prediction data is used for model training and prediction respectively.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setDataGranularity(AutoMlForecastingInputs.Granularity.Builder builderForValue) Expected difference in time granularity between rows in the data.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setDataGranularity(AutoMlForecastingInputs.Granularity value) Expected difference in time granularity between rows in the data.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setExportEvaluatedDataItemsConfig(ExportEvaluatedDataItemsConfig.Builder builderForValue) Configuration for exporting test set predictions to a BigQuery table.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setExportEvaluatedDataItemsConfig(ExportEvaluatedDataItemsConfig value) Configuration for exporting test set predictions to a BigQuery table.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setForecastHorizon(long value) The amount of time into the future for which forecasted values for the target are returned.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setOptimizationObjective(String value) Objective function the model is optimizing towards.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setOptimizationObjectiveBytes(com.google.protobuf.ByteString value) Objective function the model is optimizing towards.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setQuantiles(int index, double value) Quantiles to use for minimize-quantile-loss `optimization_objective`.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setTargetColumn(String value) The name of the column that the model is to predict.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setTargetColumnBytes(com.google.protobuf.ByteString value) The name of the column that the model is to predict.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setTimeColumn(String value) The name of the column that identifies time order in the time series.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setTimeColumnBytes(com.google.protobuf.ByteString value) The name of the column that identifies time order in the time series.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setTimeSeriesAttributeColumns(int index, String value) Column names that should be used as attribute columns.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setTimeSeriesIdentifierColumn(String value) The name of the column that identifies the time series.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setTimeSeriesIdentifierColumnBytes(com.google.protobuf.ByteString value) The name of the column that identifies the time series.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setTrainBudgetMilliNodeHours(long value) Required.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setTransformations(int index, AutoMlForecastingInputs.Transformation.Builder builderForValue) Each transformation will apply transform function to given input column.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setTransformations(int index, AutoMlForecastingInputs.Transformation value) Each transformation will apply transform function to given input column.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setUnavailableAtForecastColumns(int index, String value) Names of columns that are unavailable when a forecast is requested.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setValidationOptions(String value) Validation options for the data validation component.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setValidationOptionsBytes(com.google.protobuf.ByteString value) Validation options for the data validation component.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setWeightColumn(String value) Column name that should be used as the weight column.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.Builder.setWeightColumnBytes(com.google.protobuf.ByteString value) Column name that should be used as the weight column.
AutoMlForecastingInputs.Builder	AutoMlForecastingInputs.toBuilder()

Methods in com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition with parameters of type AutoMlForecastingInputs.Builder

Modifier and Type	Method and Description
AutoMlForecasting.Builder	AutoMlForecasting.Builder.setInputs(AutoMlForecastingInputs.Builder builderForValue) The input parameters of this TrainingJob.