Packages

c

org.tensorflow.metadata.v0

TopKClassification

final class TopKClassification extends GeneratedMessageV3 with TopKClassificationOrBuilder

Configuration for a top-K classification task.
In this problem type, there are n_classes possible label values, and the
model predicts n_predicted_labels labels.
The output is a sequence of n_predicted_labels labels, out of n_classes
possible classes. The order of the predicted output labels is determined
by the predictions_order field.
(*) MultiClassClassification is the same as TopKClassification with
    n_predicted_labels = 1.
(*) TopKClassification does NOT mean multi-class multi-label classification:
    e.g., the output contains a sequence of labels, all coming from the same
    label column in the data.

Protobuf type tensorflow.metadata.v0.TopKClassification

Source
TopKClassification.java
Linear Supertypes
TopKClassificationOrBuilder, GeneratedMessageV3, Serializable, AbstractMessage, Message, MessageOrBuilder, AbstractMessageLite[MessageType, BuilderType], MessageLite, MessageLiteOrBuilder, AnyRef, Any
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Inherited
  1. TopKClassification
  2. TopKClassificationOrBuilder
  3. GeneratedMessageV3
  4. Serializable
  5. AbstractMessage
  6. Message
  7. MessageOrBuilder
  8. AbstractMessageLite
  9. MessageLite
  10. MessageLiteOrBuilder
  11. AnyRef
  12. Any
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Visibility
  1. Public
  2. Protected

Value Members

  1. def equals(obj: AnyRef): Boolean
    Definition Classes
    TopKClassification → AbstractMessage → Message → AnyRef → Any
    Annotations
    @Override()
  2. def findInitializationErrors(): List[String]
    Definition Classes
    AbstractMessage → MessageOrBuilder
  3. def getAllFields(): Map[FieldDescriptor, AnyRef]
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  4. def getDefaultInstanceForType(): TopKClassification
    Definition Classes
    TopKClassification → MessageOrBuilder → MessageLiteOrBuilder
    Annotations
    @Override()
  5. def getDescriptorForType(): Descriptor
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  6. def getExampleWeight(): String

    (optional) The weight column.


    (optional) The weight column.

    string example_weight = 2;

    returns

    The exampleWeight.

    Definition Classes
    TopKClassification → TopKClassificationOrBuilder
    Annotations
    @Override()
  7. def getExampleWeightBytes(): ByteString

    (optional) The weight column.


    (optional) The weight column.

    string example_weight = 2;

    returns

    The bytes for exampleWeight.

    Definition Classes
    TopKClassification → TopKClassificationOrBuilder
    Annotations
    @Override()
  8. def getField(field: FieldDescriptor): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  9. def getInitializationErrorString(): String
    Definition Classes
    AbstractMessage → MessageOrBuilder
  10. def getLabel(): String

    The name of the label. Assumes the label is a flat, top-level field.


    The name of the label. Assumes the label is a flat, top-level field.

    string label = 1;

    returns

    The label.

    Definition Classes
    TopKClassification → TopKClassificationOrBuilder
  11. def getLabelBytes(): ByteString

    The name of the label. Assumes the label is a flat, top-level field.


    The name of the label. Assumes the label is a flat, top-level field.

    string label = 1;

    returns

    The bytes for label.

    Definition Classes
    TopKClassification → TopKClassificationOrBuilder
  12. def getLabelIdCase(): LabelIdCase
    Definition Classes
    TopKClassification → TopKClassificationOrBuilder
  13. def getLabelPath(): Path

    A path can be used instead of a flat string if the label is nested.


    A path can be used instead of a flat string if the label is nested.

    .tensorflow.metadata.v0.Path label_path = 6;

    returns

    The labelPath.

    Definition Classes
    TopKClassification → TopKClassificationOrBuilder
    Annotations
    @Override()
  14. def getLabelPathOrBuilder(): PathOrBuilder

    A path can be used instead of a flat string if the label is nested.


    A path can be used instead of a flat string if the label is nested.

    .tensorflow.metadata.v0.Path label_path = 6;

    Definition Classes
    TopKClassification → TopKClassificationOrBuilder
    Annotations
    @Override()
  15. def getNClasses(): Long

    (optional) The number of label classes. If unset, the solution provider
is expected to infer the number of classes from the data.


    (optional) The number of label classes. If unset, the solution provider
is expected to infer the number of classes from the data.

    uint64 n_classes = 3;

    returns

    The nClasses.

    Definition Classes
    TopKClassification → TopKClassificationOrBuilder
    Annotations
    @Override()
  16. def getNPredictedLabels(): Long

    (optional) The number of class labels to predict. If unset, we assume 1.


    (optional) The number of class labels to predict. If unset, we assume 1.

    uint64 n_predicted_labels = 4;

    returns

    The nPredictedLabels.

    Definition Classes
    TopKClassification → TopKClassificationOrBuilder
    Annotations
    @Override()
  17. def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  18. def getParserForType(): Parser[TopKClassification]
    Definition Classes
    TopKClassification → GeneratedMessageV3 → Message → MessageLite
    Annotations
    @Override()
  19. def getPredictionsOrder(): Order

    .tensorflow.metadata.v0.TopKClassification.Order predictions_order = 5;

    .tensorflow.metadata.v0.TopKClassification.Order predictions_order = 5;

    returns

    The predictionsOrder.

    Definition Classes
    TopKClassification → TopKClassificationOrBuilder
    Annotations
    @Override()
  20. def getPredictionsOrderValue(): Int

    .tensorflow.metadata.v0.TopKClassification.Order predictions_order = 5;

    .tensorflow.metadata.v0.TopKClassification.Order predictions_order = 5;

    returns

    The enum numeric value on the wire for predictionsOrder.

    Definition Classes
    TopKClassification → TopKClassificationOrBuilder
    Annotations
    @Override()
  21. def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  22. def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  23. def getSerializedSize(): Int
    Definition Classes
    TopKClassification → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  24. def getUnknownFields(): UnknownFieldSet
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  25. def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  26. def hasLabel(): Boolean

    The name of the label. Assumes the label is a flat, top-level field.


    The name of the label. Assumes the label is a flat, top-level field.

    string label = 1;

    returns

    Whether the label field is set.

    Definition Classes
    TopKClassification → TopKClassificationOrBuilder
  27. def hasLabelPath(): Boolean

    A path can be used instead of a flat string if the label is nested.


    A path can be used instead of a flat string if the label is nested.

    .tensorflow.metadata.v0.Path label_path = 6;

    returns

    Whether the labelPath field is set.

    Definition Classes
    TopKClassification → TopKClassificationOrBuilder
    Annotations
    @Override()
  28. def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  29. def hashCode(): Int
    Definition Classes
    TopKClassification → AbstractMessage → Message → AnyRef → Any
    Annotations
    @Override()
  30. final def isInitialized(): Boolean
    Definition Classes
    TopKClassification → GeneratedMessageV3 → AbstractMessage → MessageLiteOrBuilder
    Annotations
    @Override()
  31. def newBuilderForType(): Builder
    Definition Classes
    TopKClassification → Message → MessageLite
    Annotations
    @Override()
  32. def toBuilder(): Builder
    Definition Classes
    TopKClassification → Message → MessageLite
    Annotations
    @Override()
  33. def toByteArray(): Array[Byte]
    Definition Classes
    AbstractMessageLite → MessageLite
  34. def toByteString(): ByteString
    Definition Classes
    AbstractMessageLite → MessageLite
  35. final def toString(): String
    Definition Classes
    AbstractMessage → Message → AnyRef → Any
  36. def writeDelimitedTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])
  37. def writeTo(output: CodedOutputStream): Unit
    Definition Classes
    TopKClassification → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  38. def writeTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])