Packages

c

org.tensorflow.metadata.v0

MultiClassClassification

final class MultiClassClassification extends GeneratedMessageV3 with MultiClassClassificationOrBuilder

Configuration for a multi-class classification task.
In this problem type, there are n_classes possible label values, and the
model predicts a single label.
The output is one of the class labels, out of n_classes possible classes.
The output type will correspond to the label column type.

Protobuf type tensorflow.metadata.v0.MultiClassClassification

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

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


    The 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
    MultiClassClassification → MultiClassClassificationOrBuilder
    Annotations
    @Override()
  8. def getDynamicClassSpecOrBuilder(): DynamicClassSpecOrBuilder

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


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

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

    Definition Classes
    MultiClassClassification → MultiClassClassificationOrBuilder
    Annotations
    @Override()
  9. def getExampleWeight(): String

    The weight column.


    The weight column.

    string example_weight = 2;

    returns

    The exampleWeight.

    Definition Classes
    MultiClassClassification → MultiClassClassificationOrBuilder
    Annotations
    @Override()
  10. def getExampleWeightBytes(): ByteString

    The weight column.


    The weight column.

    string example_weight = 2;

    returns

    The bytes for exampleWeight.

    Definition Classes
    MultiClassClassification → MultiClassClassificationOrBuilder
    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
    MultiClassClassification → MultiClassClassificationOrBuilder
  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
    MultiClassClassification → MultiClassClassificationOrBuilder
  15. def getLabelIdCase(): LabelIdCase
    Definition Classes
    MultiClassClassification → MultiClassClassificationOrBuilder
  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
    MultiClassClassification → MultiClassClassificationOrBuilder
    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
    MultiClassClassification → MultiClassClassificationOrBuilder
    Annotations
    @Override()
  18. def getNClasses(): Long

    The exact number of label classes.


    The exact number of label classes.

    uint64 n_classes = 3;

    returns

    The nClasses.

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

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


    The 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
    MultiClassClassification → MultiClassClassificationOrBuilder
    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
    MultiClassClassification → MultiClassClassificationOrBuilder
  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
    MultiClassClassification → MultiClassClassificationOrBuilder
    Annotations
    @Override()
  29. def hasNClasses(): Boolean

    The exact number of label classes.


    The exact number of label classes.

    uint64 n_classes = 3;

    returns

    Whether the nClasses field is set.

    Definition Classes
    MultiClassClassification → MultiClassClassificationOrBuilder
    Annotations
    @Override()
  30. def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  31. def hashCode(): Int
    Definition Classes
    MultiClassClassification → AbstractMessage → Message → AnyRef → Any
    Annotations
    @Override()
  32. final def isInitialized(): Boolean
    Definition Classes
    MultiClassClassification → GeneratedMessageV3 → AbstractMessage → MessageLiteOrBuilder
    Annotations
    @Override()
  33. def newBuilderForType(): Builder
    Definition Classes
    MultiClassClassification → Message → MessageLite
    Annotations
    @Override()
  34. def toBuilder(): Builder
    Definition Classes
    MultiClassClassification → 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
    MultiClassClassification → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  40. def writeTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])