Packages

c

org.tensorflow.metadata.v0

BinaryClassification

final class BinaryClassification extends GeneratedMessageV3 with BinaryClassificationOrBuilder

Configuration for a binary classification task.
The output is one of two possible class labels, encoded as the same type
as the label column.
BinaryClassification is the same as MultiClassClassification with
n_classes = 2.

Protobuf type tensorflow.metadata.v0.BinaryClassification

Source
BinaryClassification.java
Linear Supertypes
BinaryClassificationOrBuilder, GeneratedMessageV3, Serializable, AbstractMessage, Message, MessageOrBuilder, AbstractMessageLite[MessageType, BuilderType], MessageLite, MessageLiteOrBuilder, AnyRef, Any
Ordering
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  2. By Inheritance
Inherited
  1. BinaryClassification
  2. BinaryClassificationOrBuilder
  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
    BinaryClassification → 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(): BinaryClassification
    Definition Classes
    BinaryClassification → 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
    BinaryClassification → BinaryClassificationOrBuilder
    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
    BinaryClassification → BinaryClassificationOrBuilder
    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
    BinaryClassification → BinaryClassificationOrBuilder
  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
    BinaryClassification → BinaryClassificationOrBuilder
  12. def getLabelIdCase(): LabelIdCase
    Definition Classes
    BinaryClassification → BinaryClassificationOrBuilder
  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 = 3;

    returns

    The labelPath.

    Definition Classes
    BinaryClassification → BinaryClassificationOrBuilder
    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 = 3;

    Definition Classes
    BinaryClassification → BinaryClassificationOrBuilder
    Annotations
    @Override()
  15. def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  16. def getParserForType(): Parser[BinaryClassification]
    Definition Classes
    BinaryClassification → GeneratedMessageV3 → Message → MessageLite
    Annotations
    @Override()
  17. def getPositiveNegativeSpec(): PositiveNegativeSpec

    (optional) specification of the positive and/or negative class value.


    (optional) specification of the positive and/or negative class value.

    .tensorflow.metadata.v0.BinaryClassification.PositiveNegativeSpec positive_negative_spec = 4;

    returns

    The positiveNegativeSpec.

    Definition Classes
    BinaryClassification → BinaryClassificationOrBuilder
    Annotations
    @Override()
  18. def getPositiveNegativeSpecOrBuilder(): PositiveNegativeSpecOrBuilder

    (optional) specification of the positive and/or negative class value.


    (optional) specification of the positive and/or negative class value.

    .tensorflow.metadata.v0.BinaryClassification.PositiveNegativeSpec positive_negative_spec = 4;

    Definition Classes
    BinaryClassification → BinaryClassificationOrBuilder
    Annotations
    @Override()
  19. def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  20. def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  21. def getSerializedSize(): Int
    Definition Classes
    BinaryClassification → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  22. def getUnknownFields(): UnknownFieldSet
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  23. def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  24. 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
    BinaryClassification → BinaryClassificationOrBuilder
  25. 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 = 3;

    returns

    Whether the labelPath field is set.

    Definition Classes
    BinaryClassification → BinaryClassificationOrBuilder
    Annotations
    @Override()
  26. def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  27. def hasPositiveNegativeSpec(): Boolean

    (optional) specification of the positive and/or negative class value.


    (optional) specification of the positive and/or negative class value.

    .tensorflow.metadata.v0.BinaryClassification.PositiveNegativeSpec positive_negative_spec = 4;

    returns

    Whether the positiveNegativeSpec field is set.

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