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

Class AutoMlImageObjectDetectionInputs.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<AutoMlImageObjectDetectionInputs.Builder>
com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.Builder
All Implemented Interfaces:
AutoMlImageObjectDetectionInputsOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
AutoMlImageObjectDetectionInputs
public static final class AutoMlImageObjectDetectionInputs.Builder extends com.google.protobuf.GeneratedMessage.Builder<AutoMlImageObjectDetectionInputs.Builder> implements AutoMlImageObjectDetectionInputsOrBuilder
Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs

  • Method Details

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<AutoMlImageObjectDetectionInputs.Builder>

    • clear

      public AutoMlImageObjectDetectionInputs.Builder clear()
      Specified by:
      clear in interface com.google.protobuf.Message.Builder
      Specified by:
      clear in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clear in class com.google.protobuf.GeneratedMessage.Builder<AutoMlImageObjectDetectionInputs.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.GeneratedMessage.Builder<AutoMlImageObjectDetectionInputs.Builder>

    • getDefaultInstanceForType

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

    • build

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

    • buildPartial

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

    • mergeFrom

      public AutoMlImageObjectDetectionInputs.Builder mergeFrom(com.google.protobuf.Message other)
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<AutoMlImageObjectDetectionInputs.Builder>

    • mergeFrom

      public AutoMlImageObjectDetectionInputs.Builder mergeFrom(AutoMlImageObjectDetectionInputs other)

    • isInitialized

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

    • mergeFrom

      public AutoMlImageObjectDetectionInputs.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<AutoMlImageObjectDetectionInputs.Builder>
      Throws:
      IOException

    • getModelTypeValue

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

    • setModelTypeValue

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

    • getModelType

      public AutoMlImageObjectDetectionInputs.ModelType getModelType()
      .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
      Specified by:
      getModelType in interface AutoMlImageObjectDetectionInputsOrBuilder
      Returns:
      The modelType.

    • setModelType

      public AutoMlImageObjectDetectionInputs.Builder setModelType(AutoMlImageObjectDetectionInputs.ModelType value)
      .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
      Parameters:
      value - The modelType to set.
      Returns:
      This builder for chaining.

    • clearModelType

      public AutoMlImageObjectDetectionInputs.Builder clearModelType()
      .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.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.
 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;
      Specified by:
      getBudgetMilliNodeHours in interface AutoMlImageObjectDetectionInputsOrBuilder
      Returns:
      The budgetMilliNodeHours.

    • setBudgetMilliNodeHours

      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;
      Parameters:
      value - The budgetMilliNodeHours to set.
      Returns:
      This builder for chaining.

    • clearBudgetMilliNodeHours

      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;
      Returns:
      This builder for chaining.

    • getDisableEarlyStopping

      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;
      Specified by:
      getDisableEarlyStopping in interface AutoMlImageObjectDetectionInputsOrBuilder
      Returns:
      The disableEarlyStopping.

    • setDisableEarlyStopping

      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;
      Parameters:
      value - The disableEarlyStopping to set.
      Returns:
      This builder for chaining.

    • clearDisableEarlyStopping

      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;
      Returns:
      This builder for chaining.