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

Class AutoMlImageSegmentationInputs.Builder

    • Method Detail

      • 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.Builder<AutoMlImageSegmentationInputs.Builder>

      • getDescriptorForType

        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
        Specified by:
        getDescriptorForType in interface com.google.protobuf.Message.Builder
        Specified by:
        getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
        Overrides:
        getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageSegmentationInputs.Builder>

      • getDefaultInstanceForType

        public AutoMlImageSegmentationInputs getDefaultInstanceForType()
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

      • build

        public AutoMlImageSegmentationInputs build()
        Specified by:
        build in interface com.google.protobuf.Message.Builder
        Specified by:
        build in interface com.google.protobuf.MessageLite.Builder

      • buildPartial

        public AutoMlImageSegmentationInputs buildPartial()
        Specified by:
        buildPartial in interface com.google.protobuf.Message.Builder
        Specified by:
        buildPartial in interface com.google.protobuf.MessageLite.Builder

      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageSegmentationInputs.Builder>

      • mergeFrom

        public AutoMlImageSegmentationInputs.Builder mergeFrom​(com.google.protobuf.CodedInputStream input,
                                                       com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                throws IOException
        Specified by:
        mergeFrom in interface com.google.protobuf.Message.Builder
        Specified by:
        mergeFrom in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        mergeFrom in class com.google.protobuf.AbstractMessage.Builder<AutoMlImageSegmentationInputs.Builder>
        Throws:
        IOException

      • getModelTypeValue

        public int getModelTypeValue()
        .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
        Specified by:
        getModelTypeValue in interface AutoMlImageSegmentationInputsOrBuilder
        Returns:
        The enum numeric value on the wire for modelType.

      • setModelTypeValue

        public AutoMlImageSegmentationInputs.Builder setModelTypeValue​(int value)
        .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
        Parameters:
        value - The enum numeric value on the wire for modelType to set.
        Returns:
        This builder for chaining.

      • clearModelType

        public AutoMlImageSegmentationInputs.Builder clearModelType()
        .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
        Returns:
        This builder for chaining.

      • getBudgetMilliNodeHours

        public long getBudgetMilliNodeHours()
         The training budget of creating this model, expressed in milli node
 hours i.e. 1,000 value in this field means 1 node hour. The actual
 metadata.costMilliNodeHours will be equal or less than this value.
 If further model training ceases to provide any improvements, it will
 stop without using the full budget and the metadata.successfulStopReason
 will be `model-converged`.
 Note, node_hour  = actual_hour * number_of_nodes_involved. Or
 actaul_wall_clock_hours = train_budget_milli_node_hours /
                           (number_of_nodes_involved * 1000)
 For modelType `cloud-high-accuracy-1`(default), the budget must be between
 20,000 and 2,000,000 milli node hours, inclusive. The default value is
 192,000 which represents one day in wall time
 (1000 milli * 24 hours * 8 nodes).
        int64 budget_milli_node_hours = 2;
        Specified by:
        getBudgetMilliNodeHours in interface AutoMlImageSegmentationInputsOrBuilder
        Returns:
        The budgetMilliNodeHours.

      • setBudgetMilliNodeHours

        public AutoMlImageSegmentationInputs.Builder setBudgetMilliNodeHours​(long value)
         The training budget of creating this model, expressed in milli node
 hours i.e. 1,000 value in this field means 1 node hour. The actual
 metadata.costMilliNodeHours will be equal or less than this value.
 If further model training ceases to provide any improvements, it will
 stop without using the full budget and the metadata.successfulStopReason
 will be `model-converged`.
 Note, node_hour  = actual_hour * number_of_nodes_involved. Or
 actaul_wall_clock_hours = train_budget_milli_node_hours /
                           (number_of_nodes_involved * 1000)
 For modelType `cloud-high-accuracy-1`(default), the budget must be between
 20,000 and 2,000,000 milli node hours, inclusive. The default value is
 192,000 which represents one day in wall time
 (1000 milli * 24 hours * 8 nodes).
        int64 budget_milli_node_hours = 2;
        Parameters:
        value - The budgetMilliNodeHours to set.
        Returns:
        This builder for chaining.

      • clearBudgetMilliNodeHours

        public AutoMlImageSegmentationInputs.Builder clearBudgetMilliNodeHours()
         The training budget of creating this model, expressed in milli node
 hours i.e. 1,000 value in this field means 1 node hour. The actual
 metadata.costMilliNodeHours will be equal or less than this value.
 If further model training ceases to provide any improvements, it will
 stop without using the full budget and the metadata.successfulStopReason
 will be `model-converged`.
 Note, node_hour  = actual_hour * number_of_nodes_involved. Or
 actaul_wall_clock_hours = train_budget_milli_node_hours /
                           (number_of_nodes_involved * 1000)
 For modelType `cloud-high-accuracy-1`(default), the budget must be between
 20,000 and 2,000,000 milli node hours, inclusive. The default value is
 192,000 which represents one day in wall time
 (1000 milli * 24 hours * 8 nodes).
        int64 budget_milli_node_hours = 2;
        Returns:
        This builder for chaining.

      • getBaseModelId

        public String getBaseModelId()
         The ID of the `base` model. If it is specified, the new model will be
 trained based on the `base` model. Otherwise, the new model will be
 trained from scratch. The `base` model must be in the same
 Project and Location as the new Model to train, and have the same
 modelType.
        string base_model_id = 3;
        Specified by:
        getBaseModelId in interface AutoMlImageSegmentationInputsOrBuilder
        Returns:
        The baseModelId.

      • getBaseModelIdBytes

        public com.google.protobuf.ByteString getBaseModelIdBytes()
         The ID of the `base` model. If it is specified, the new model will be
 trained based on the `base` model. Otherwise, the new model will be
 trained from scratch. The `base` model must be in the same
 Project and Location as the new Model to train, and have the same
 modelType.
        string base_model_id = 3;
        Specified by:
        getBaseModelIdBytes in interface AutoMlImageSegmentationInputsOrBuilder
        Returns:
        The bytes for baseModelId.

      • setBaseModelId

        public AutoMlImageSegmentationInputs.Builder setBaseModelId​(String value)
         The ID of the `base` model. If it is specified, the new model will be
 trained based on the `base` model. Otherwise, the new model will be
 trained from scratch. The `base` model must be in the same
 Project and Location as the new Model to train, and have the same
 modelType.
        string base_model_id = 3;
        Parameters:
        value - The baseModelId to set.
        Returns:
        This builder for chaining.

      • clearBaseModelId

        public AutoMlImageSegmentationInputs.Builder clearBaseModelId()
         The ID of the `base` model. If it is specified, the new model will be
 trained based on the `base` model. Otherwise, the new model will be
 trained from scratch. The `base` model must be in the same
 Project and Location as the new Model to train, and have the same
 modelType.
        string base_model_id = 3;
        Returns:
        This builder for chaining.

      • setBaseModelIdBytes

        public AutoMlImageSegmentationInputs.Builder setBaseModelIdBytes​(com.google.protobuf.ByteString value)
         The ID of the `base` model. If it is specified, the new model will be
 trained based on the `base` model. Otherwise, the new model will be
 trained from scratch. The `base` model must be in the same
 Project and Location as the new Model to train, and have the same
 modelType.
        string base_model_id = 3;
        Parameters:
        value - The bytes for baseModelId to set.
        Returns:
        This builder for chaining.