Packages

c

org.tensorflow.metadata.v0

MultiLabelClassification

final class MultiLabelClassification extends GeneratedMessageV3 with MultiLabelClassificationOrBuilder

Configuration for a multi-label classification task.
In this problem type there are n_classes unique possible label values
overall. There can be from zero up to n_classes unique labels per example.
The output, which is of type real number, is class probabilities associated
with each class. It will be of n_classes dimension for each example, if
n_classes is specified. Otherwise, the dimension will be set to the number
of unique class labels that are dynamically inferred from the data based on
dynamic_class_spec.

Protobuf type tensorflow.metadata.v0.MultiLabelClassification

Source
MultiLabelClassification.java
Linear Supertypes
MultiLabelClassificationOrBuilder, GeneratedMessageV3, Serializable, AbstractMessage, Message, MessageOrBuilder, AbstractMessageLite[MessageType, BuilderType], MessageLite, MessageLiteOrBuilder, AnyRef, Any
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Inherited
  1. MultiLabelClassification
  2. MultiLabelClassificationOrBuilder
  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
    MultiLabelClassification → 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 getClassSpecCase(): ClassSpecCase
    Definition Classes
    MultiLabelClassification → MultiLabelClassificationOrBuilder
  5. def getDefaultInstanceForType(): MultiLabelClassification
    Definition Classes
    MultiLabelClassification → MessageOrBuilder → MessageLiteOrBuilder
    Annotations
    @Override()
  6. def getDescriptorForType(): Descriptor
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  7. def getDynamicClassSpec(): DynamicClassSpec

    The maximal number of label classes that should be inferred dynamically
from the data.


    The maximal number of label classes that should be inferred dynamically
from the data.

    .tensorflow.metadata.v0.DynamicClassSpec dynamic_class_spec = 4;

    returns

    The dynamicClassSpec.

    Definition Classes
    MultiLabelClassification → MultiLabelClassificationOrBuilder
    Annotations
    @Override()
  8. def getDynamicClassSpecOrBuilder(): DynamicClassSpecOrBuilder

    The maximal number of label classes that should be inferred dynamically
from the data.


    The maximal number of label classes that should be inferred dynamically
from the data.

    .tensorflow.metadata.v0.DynamicClassSpec dynamic_class_spec = 4;

    Definition Classes
    MultiLabelClassification → MultiLabelClassificationOrBuilder
    Annotations
    @Override()
  9. def getExampleWeight(): String

    The weight column.


    The weight column.

    string example_weight = 2;

    returns

    The exampleWeight.

    Definition Classes
    MultiLabelClassification → MultiLabelClassificationOrBuilder
    Annotations
    @Override()
  10. def getExampleWeightBytes(): ByteString

    The weight column.


    The weight column.

    string example_weight = 2;

    returns

    The bytes for exampleWeight.

    Definition Classes
    MultiLabelClassification → MultiLabelClassificationOrBuilder
    Annotations
    @Override()
  11. def getField(field: FieldDescriptor): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  12. def getInitializationErrorString(): String
    Definition Classes
    AbstractMessage → MessageOrBuilder
  13. 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
    MultiLabelClassification → MultiLabelClassificationOrBuilder
  14. 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
    MultiLabelClassification → MultiLabelClassificationOrBuilder
  15. def getLabelIdCase(): LabelIdCase
    Definition Classes
    MultiLabelClassification → MultiLabelClassificationOrBuilder
  16. 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 = 5;

    returns

    The labelPath.

    Definition Classes
    MultiLabelClassification → MultiLabelClassificationOrBuilder
    Annotations
    @Override()
  17. 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 = 5;

    Definition Classes
    MultiLabelClassification → MultiLabelClassificationOrBuilder
    Annotations
    @Override()
  18. def getNClasses(): Long

    The exact number of unique class labels.


    The exact number of unique class labels.

    uint64 n_classes = 3;

    returns

    The nClasses.

    Definition Classes
    MultiLabelClassification → MultiLabelClassificationOrBuilder
    Annotations
    @Override()
  19. def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  20. def getParserForType(): Parser[MultiLabelClassification]
    Definition Classes
    MultiLabelClassification → GeneratedMessageV3 → Message → MessageLite
    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
    MultiLabelClassification → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  24. def getUnknownFields(): UnknownFieldSet
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  25. def hasDynamicClassSpec(): Boolean

    The maximal number of label classes that should be inferred dynamically
from the data.


    The maximal number of label classes that should be inferred dynamically
from the data.

    .tensorflow.metadata.v0.DynamicClassSpec dynamic_class_spec = 4;

    returns

    Whether the dynamicClassSpec field is set.

    Definition Classes
    MultiLabelClassification → MultiLabelClassificationOrBuilder
    Annotations
    @Override()
  26. def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  27. 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
    MultiLabelClassification → MultiLabelClassificationOrBuilder
  28. 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 = 5;

    returns

    Whether the labelPath field is set.

    Definition Classes
    MultiLabelClassification → MultiLabelClassificationOrBuilder
    Annotations
    @Override()
  29. def hasNClasses(): Boolean

    The exact number of unique class labels.


    The exact number of unique class labels.

    uint64 n_classes = 3;

    returns

    Whether the nClasses field is set.

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