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org.tensorflow.metadata.v0

MetaOptimizationTargetOrBuilder

trait MetaOptimizationTargetOrBuilder extends MessageOrBuilder

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  1. MetaOptimizationTargetOrBuilder
  2. MessageOrBuilder
  3. MessageLiteOrBuilder
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  2. Protected

Abstract Value Members

  1. abstract def findInitializationErrors(): List[String]
    Definition Classes
    MessageOrBuilder
  2. abstract def getAllFields(): Map[FieldDescriptor, AnyRef]
    Definition Classes
    MessageOrBuilder
  3. abstract def getDefaultInstanceForType(): Message
    Definition Classes
    MessageOrBuilder → MessageLiteOrBuilder
  4. abstract def getDescriptorForType(): Descriptor
    Definition Classes
    MessageOrBuilder
  5. abstract def getField(field: FieldDescriptor): AnyRef
    Definition Classes
    MessageOrBuilder
  6. abstract def getInitializationErrorString(): String
    Definition Classes
    MessageOrBuilder
  7. abstract def getObjectiveCombinationCase(): ObjectiveCombinationCase
  8. abstract def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    MessageOrBuilder
  9. abstract def getPerformanceMetric(): PerformanceMetric

    The performance metric to be evaluated.
The prediction or classification is based upon the task.
The label is from the type of the task, or from the override_task.


    The performance metric to be evaluated.
The prediction or classification is based upon the task.
The label is from the type of the task, or from the override_task.

    .tensorflow.metadata.v0.PerformanceMetric performance_metric = 3;

    returns

    The performanceMetric.

  10. abstract def getPerformanceMetricOrBuilder(): PerformanceMetricOrBuilder

    The performance metric to be evaluated.
The prediction or classification is based upon the task.
The label is from the type of the task, or from the override_task.


    The performance metric to be evaluated.
The prediction or classification is based upon the task.
The label is from the type of the task, or from the override_task.

    .tensorflow.metadata.v0.PerformanceMetric performance_metric = 3;

  11. abstract def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    MessageOrBuilder
  12. abstract def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    MessageOrBuilder
  13. abstract def getTaskName(): String

    The name of a task in this problem statement producing the
prediction or classification for the metric.


    The name of a task in this problem statement producing the
prediction or classification for the metric.

    string task_name = 1;

    returns

    The taskName.

  14. abstract def getTaskNameBytes(): ByteString

    The name of a task in this problem statement producing the
prediction or classification for the metric.


    The name of a task in this problem statement producing the
prediction or classification for the metric.

    string task_name = 1;

    returns

    The bytes for taskName.

  15. abstract def getThresholdConfig(): ThresholdConfig

    Secondary meta optimization targets can be thresholded, meaning that the
optimization process prefers solutions above (or below) the threshold,
but need not prefer solutions higher (or lower) on the metric if the
threshold is met.


    Secondary meta optimization targets can be thresholded, meaning that the
optimization process prefers solutions above (or below) the threshold,
but need not prefer solutions higher (or lower) on the metric if the
threshold is met.

    .tensorflow.metadata.v0.MetaOptimizationTarget.ThresholdConfig threshold_config = 5;

    returns

    The thresholdConfig.

  16. abstract def getThresholdConfigOrBuilder(): ThresholdConfigOrBuilder

    Secondary meta optimization targets can be thresholded, meaning that the
optimization process prefers solutions above (or below) the threshold,
but need not prefer solutions higher (or lower) on the metric if the
threshold is met.


    Secondary meta optimization targets can be thresholded, meaning that the
optimization process prefers solutions above (or below) the threshold,
but need not prefer solutions higher (or lower) on the metric if the
threshold is met.

    .tensorflow.metadata.v0.MetaOptimizationTarget.ThresholdConfig threshold_config = 5;

  17. abstract def getUnknownFields(): UnknownFieldSet
    Definition Classes
    MessageOrBuilder
  18. abstract def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    MessageOrBuilder
  19. abstract def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    MessageOrBuilder
  20. abstract def hasPerformanceMetric(): Boolean

    The performance metric to be evaluated.
The prediction or classification is based upon the task.
The label is from the type of the task, or from the override_task.


    The performance metric to be evaluated.
The prediction or classification is based upon the task.
The label is from the type of the task, or from the override_task.

    .tensorflow.metadata.v0.PerformanceMetric performance_metric = 3;

    returns

    Whether the performanceMetric field is set.

  21. abstract def hasThresholdConfig(): Boolean

    Secondary meta optimization targets can be thresholded, meaning that the
optimization process prefers solutions above (or below) the threshold,
but need not prefer solutions higher (or lower) on the metric if the
threshold is met.


    Secondary meta optimization targets can be thresholded, meaning that the
optimization process prefers solutions above (or below) the threshold,
but need not prefer solutions higher (or lower) on the metric if the
threshold is met.

    .tensorflow.metadata.v0.MetaOptimizationTarget.ThresholdConfig threshold_config = 5;

    returns

    Whether the thresholdConfig field is set.

  22. abstract def isInitialized(): Boolean
    Definition Classes
    MessageLiteOrBuilder
  23. abstract def getWeight(): Double

    If a model spec has multiple meta optimization targets, the weight
of each can be specified. The final objective is then a weighted
combination of the multiple objectives. If not specified, value is 1.


    If a model spec has multiple meta optimization targets, the weight
of each can be specified. The final objective is then a weighted
combination of the multiple objectives. If not specified, value is 1.

    double weight = 4 [deprecated = true];

    returns

    The weight.

    Annotations
    @Deprecated
    Deprecated
  24. abstract def hasWeight(): Boolean

    If a model spec has multiple meta optimization targets, the weight
of each can be specified. The final objective is then a weighted
combination of the multiple objectives. If not specified, value is 1.


    If a model spec has multiple meta optimization targets, the weight
of each can be specified. The final objective is then a weighted
combination of the multiple objectives. If not specified, value is 1.

    double weight = 4 [deprecated = true];

    returns

    Whether the weight field is set.

    Annotations
    @Deprecated
    Deprecated

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##: Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  6. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  7. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  8. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable])
  9. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  10. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  11. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  12. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  13. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  14. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  15. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  16. def toString(): String
    Definition Classes
    AnyRef → Any
  17. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  18. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  19. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()

Inherited from MessageOrBuilder

Inherited from MessageLiteOrBuilder

Inherited from AnyRef

Inherited from Any

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