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

Class 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

    • 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

      • 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

      • 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.

      • 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.

      • 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.

      • 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.

      • 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

      • newBuilderForType

        public AutoMlForecastingInputs.Builder newBuilderForType()
        Specified by:
        newBuilderForType in interface com.google.protobuf.Message
        Specified by:
        newBuilderForType in interface com.google.protobuf.MessageLite

      • 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

      • 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