public static final class AutoMlImageObjectDetectionInputs.Builder extends GeneratedMessageV3.Builder<AutoMlImageObjectDetectionInputs.Builder> implements AutoMlImageObjectDetectionInputsOrBuilder
   
  Protobuf type 
 google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs
    Inherited Members
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()
    
    
    
    
    
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)
    
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)
    
    
    
    
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)
    
    
    
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)
    
    
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)
    
    
    
    
    
    
    
    
    
    
    
    
   
  Static Methods
  
  
  
  
    public static final Descriptors.Descriptor getDescriptor()
   
  
  Methods
  
  
  
  
    public AutoMlImageObjectDetectionInputs.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
   
  
  
  Overrides
  
  
  
  
    public AutoMlImageObjectDetectionInputs build()
   
  
  
  
  
    public AutoMlImageObjectDetectionInputs buildPartial()
   
  
  
  
  
    public AutoMlImageObjectDetectionInputs.Builder clear()
   
  
  Overrides
  
  
  
  
    public AutoMlImageObjectDetectionInputs.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.
 For modelType cloud(default), the budget must be between 20,000
 and 900,000 milli node hours, inclusive. The default value is 216,000
 which represents one day in wall time, considering 9 nodes are used.
 For model types mobile-tf-low-latency-1, mobile-tf-versatile-1,
 mobile-tf-high-accuracy-1
 the training budget must be between 1,000 and 100,000 milli node hours,
 inclusive. The default value is 24,000 which represents one day in
 wall time on a single node that is used.
 int64 budget_milli_node_hours = 2;
    public AutoMlImageObjectDetectionInputs.Builder clearDisableEarlyStopping()
   
   Use the entire training budget. This disables the early stopping feature.
 When false the early stopping feature is enabled, which means that AutoML
 Image Object Detection might stop training before the entire training
 budget has been used.
 bool disable_early_stopping = 3;
    public AutoMlImageObjectDetectionInputs.Builder clearField(Descriptors.FieldDescriptor field)
   
  
  
  Overrides
  
  
  
  
    public AutoMlImageObjectDetectionInputs.Builder clearModelType()
   
  
 .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
 
    public AutoMlImageObjectDetectionInputs.Builder clearOneof(Descriptors.OneofDescriptor oneof)
   
  
  
  Overrides
  
  
  
  
    public AutoMlImageObjectDetectionInputs.Builder clone()
   
  
  Overrides
  
  
  
  
    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.
 For modelType cloud(default), the budget must be between 20,000
 and 900,000 milli node hours, inclusive. The default value is 216,000
 which represents one day in wall time, considering 9 nodes are used.
 For model types mobile-tf-low-latency-1, mobile-tf-versatile-1,
 mobile-tf-high-accuracy-1
 the training budget must be between 1,000 and 100,000 milli node hours,
 inclusive. The default value is 24,000 which represents one day in
 wall time on a single node that is used.
 int64 budget_milli_node_hours = 2;
    
      
        | Returns | 
      
        | Type | Description | 
      
        | long | The budgetMilliNodeHours. | 
    
  
  
  
  
    public AutoMlImageObjectDetectionInputs getDefaultInstanceForType()
   
  
  
  
  
    public Descriptors.Descriptor getDescriptorForType()
   
  
  Overrides
  
  
  
  
    public boolean getDisableEarlyStopping()
   
   Use the entire training budget. This disables the early stopping feature.
 When false the early stopping feature is enabled, which means that AutoML
 Image Object Detection might stop training before the entire training
 budget has been used.
 bool disable_early_stopping = 3;
    
      
        | Returns | 
      
        | Type | Description | 
      
        | boolean | The disableEarlyStopping. | 
    
  
  
  
  
    public AutoMlImageObjectDetectionInputs.ModelType getModelType()
   
  
 .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
 
    public int getModelTypeValue()
   
  
 .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
 
    
      
        | Returns | 
      
        | Type | Description | 
      
        | int | The enum numeric value on the wire for modelType. | 
    
  
  
  
  
    protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
   
  
  Overrides
  
  
  
  
    public final boolean isInitialized()
   
  
  Overrides
  
  
  
  
    public AutoMlImageObjectDetectionInputs.Builder mergeFrom(AutoMlImageObjectDetectionInputs other)
   
  
  
  
  
  
    public AutoMlImageObjectDetectionInputs.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
   
  
  
  Overrides
  
  
  
  
  
    public AutoMlImageObjectDetectionInputs.Builder mergeFrom(Message other)
   
  
    
      
        | Parameter | 
      
        | Name | Description | 
      
        | other | Message
 | 
    
  
  
  Overrides
  
  
  
  
    public final AutoMlImageObjectDetectionInputs.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
   
  
  
  Overrides
  
  
  
  
    public AutoMlImageObjectDetectionInputs.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.
 For modelType cloud(default), the budget must be between 20,000
 and 900,000 milli node hours, inclusive. The default value is 216,000
 which represents one day in wall time, considering 9 nodes are used.
 For model types mobile-tf-low-latency-1, mobile-tf-versatile-1,
 mobile-tf-high-accuracy-1
 the training budget must be between 1,000 and 100,000 milli node hours,
 inclusive. The default value is 24,000 which represents one day in
 wall time on a single node that is used.
 int64 budget_milli_node_hours = 2;
    
      
        | Parameter | 
      
        | Name | Description | 
      
        | value | long
 The budgetMilliNodeHours to set. | 
    
  
  
  
  
  
    public AutoMlImageObjectDetectionInputs.Builder setDisableEarlyStopping(boolean value)
   
   Use the entire training budget. This disables the early stopping feature.
 When false the early stopping feature is enabled, which means that AutoML
 Image Object Detection might stop training before the entire training
 budget has been used.
 bool disable_early_stopping = 3;
    
      
        | Parameter | 
      
        | Name | Description | 
      
        | value | boolean
 The disableEarlyStopping to set. | 
    
  
  
  
  
  
    public AutoMlImageObjectDetectionInputs.Builder setField(Descriptors.FieldDescriptor field, Object value)
   
  
  
  Overrides
  
  
  
  
    public AutoMlImageObjectDetectionInputs.Builder setModelType(AutoMlImageObjectDetectionInputs.ModelType value)
   
  
 .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
 
    public AutoMlImageObjectDetectionInputs.Builder setModelTypeValue(int value)
   
  
 .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
 
    
      
        | Parameter | 
      
        | Name | Description | 
      
        | value | int
 The enum numeric value on the wire for modelType to set. | 
    
  
  
  
  
  
    public AutoMlImageObjectDetectionInputs.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
   
  
  
  Overrides
  
  
  
  
    public final AutoMlImageObjectDetectionInputs.Builder setUnknownFields(UnknownFieldSet unknownFields)
   
  
  
  Overrides