Packages

c

org.tensorflow.metadata.v0

OneDimensionalRegression

final class OneDimensionalRegression extends GeneratedMessageV3 with OneDimensionalRegressionOrBuilder

A one-dimensional regression task.
The output is a single real number, whose range is dependent upon the
objective.

Protobuf type tensorflow.metadata.v0.OneDimensionalRegression

Source
OneDimensionalRegression.java
Linear Supertypes
OneDimensionalRegressionOrBuilder, GeneratedMessageV3, Serializable, AbstractMessage, Message, MessageOrBuilder, AbstractMessageLite[MessageType, BuilderType], MessageLite, MessageLiteOrBuilder, AnyRef, Any
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Inherited
  1. OneDimensionalRegression
  2. OneDimensionalRegressionOrBuilder
  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. 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(obj: AnyRef): Boolean
    Definition Classes
    OneDimensionalRegression → AbstractMessage → Message → AnyRef → Any
    Annotations
    @Override()
  8. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable])
  9. def findInitializationErrors(): List[String]
    Definition Classes
    AbstractMessage → MessageOrBuilder
  10. def getAllFields(): Map[FieldDescriptor, AnyRef]
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  11. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  12. def getCounts(): Counts

    When set the label corresponds to counts from a poisson distribution.
Eg: Number of googlers contributing to memegen each year.


    When set the label corresponds to counts from a poisson distribution.
Eg: Number of googlers contributing to memegen each year.

    .tensorflow.metadata.v0.OneDimensionalRegression.Counts counts = 5;

    returns

    The counts.

    Definition Classes
    OneDimensionalRegression → OneDimensionalRegressionOrBuilder
    Annotations
    @Override()
  13. def getCountsOrBuilder(): CountsOrBuilder

    When set the label corresponds to counts from a poisson distribution.
Eg: Number of googlers contributing to memegen each year.


    When set the label corresponds to counts from a poisson distribution.
Eg: Number of googlers contributing to memegen each year.

    .tensorflow.metadata.v0.OneDimensionalRegression.Counts counts = 5;

    Definition Classes
    OneDimensionalRegression → OneDimensionalRegressionOrBuilder
    Annotations
    @Override()
  14. def getDefaultInstanceForType(): OneDimensionalRegression
    Definition Classes
    OneDimensionalRegression → MessageOrBuilder → MessageLiteOrBuilder
    Annotations
    @Override()
  15. def getDescriptorForType(): Descriptor
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  16. def getField(field: FieldDescriptor): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  17. def getInitializationErrorString(): String
    Definition Classes
    AbstractMessage → MessageOrBuilder
  18. 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
    OneDimensionalRegression → OneDimensionalRegressionOrBuilder
  19. 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
    OneDimensionalRegression → OneDimensionalRegressionOrBuilder
  20. def getLabelIdCase(): LabelIdCase
    Definition Classes
    OneDimensionalRegression → OneDimensionalRegressionOrBuilder
  21. 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
    OneDimensionalRegression → OneDimensionalRegressionOrBuilder
    Annotations
    @Override()
  22. 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
    OneDimensionalRegression → OneDimensionalRegressionOrBuilder
    Annotations
    @Override()
  23. def getLabelTypeCase(): LabelTypeCase
    Definition Classes
    OneDimensionalRegression → OneDimensionalRegressionOrBuilder
  24. def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  25. def getParserForType(): Parser[OneDimensionalRegression]
    Definition Classes
    OneDimensionalRegression → GeneratedMessageV3 → Message → MessageLite
    Annotations
    @Override()
  26. def getProbability(): Probability

    When set means the label is a probability in range [0..1].


    When set means the label is a probability in range [0..1].

    .tensorflow.metadata.v0.OneDimensionalRegression.Probability probability = 4;

    returns

    The probability.

    Definition Classes
    OneDimensionalRegression → OneDimensionalRegressionOrBuilder
    Annotations
    @Override()
  27. def getProbabilityOrBuilder(): ProbabilityOrBuilder

    When set means the label is a probability in range [0..1].


    When set means the label is a probability in range [0..1].

    .tensorflow.metadata.v0.OneDimensionalRegression.Probability probability = 4;

    Definition Classes
    OneDimensionalRegression → OneDimensionalRegressionOrBuilder
    Annotations
    @Override()
  28. def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  29. def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  30. def getSerializedSize(): Int
    Definition Classes
    OneDimensionalRegression → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  31. def getUnknownFields(): UnknownFieldSet
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  32. def getWeight(): String

    (optional) The weight column.


    (optional) The weight column.

    string weight = 2;

    returns

    The weight.

    Definition Classes
    OneDimensionalRegression → OneDimensionalRegressionOrBuilder
    Annotations
    @Override()
  33. def getWeightBytes(): ByteString

    (optional) The weight column.


    (optional) The weight column.

    string weight = 2;

    returns

    The bytes for weight.

    Definition Classes
    OneDimensionalRegression → OneDimensionalRegressionOrBuilder
    Annotations
    @Override()
  34. def hasCounts(): Boolean

    When set the label corresponds to counts from a poisson distribution.
Eg: Number of googlers contributing to memegen each year.


    When set the label corresponds to counts from a poisson distribution.
Eg: Number of googlers contributing to memegen each year.

    .tensorflow.metadata.v0.OneDimensionalRegression.Counts counts = 5;

    returns

    Whether the counts field is set.

    Definition Classes
    OneDimensionalRegression → OneDimensionalRegressionOrBuilder
    Annotations
    @Override()
  35. def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  36. 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
    OneDimensionalRegression → OneDimensionalRegressionOrBuilder
  37. 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
    OneDimensionalRegression → OneDimensionalRegressionOrBuilder
    Annotations
    @Override()
  38. def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  39. def hasProbability(): Boolean

    When set means the label is a probability in range [0..1].


    When set means the label is a probability in range [0..1].

    .tensorflow.metadata.v0.OneDimensionalRegression.Probability probability = 4;

    returns

    Whether the probability field is set.

    Definition Classes
    OneDimensionalRegression → OneDimensionalRegressionOrBuilder
    Annotations
    @Override()
  40. def hashCode(): Int
    Definition Classes
    OneDimensionalRegression → AbstractMessage → Message → AnyRef → Any
    Annotations
    @Override()
  41. def internalGetFieldAccessorTable(): FieldAccessorTable
    Attributes
    protected[v0]
    Definition Classes
    OneDimensionalRegression → GeneratedMessageV3
    Annotations
    @Override()
  42. def internalGetMapFieldReflection(fieldNumber: Int): MapFieldReflectionAccessor
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
  43. final def isInitialized(): Boolean
    Definition Classes
    OneDimensionalRegression → GeneratedMessageV3 → AbstractMessage → MessageLiteOrBuilder
    Annotations
    @Override()
  44. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  45. def makeExtensionsImmutable(): Unit
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
  46. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  47. def newBuilderForType(parent: BuilderParent): Builder
    Attributes
    protected[v0]
    Definition Classes
    OneDimensionalRegression → GeneratedMessageV3
    Annotations
    @Override()
  48. def newBuilderForType(): Builder
    Definition Classes
    OneDimensionalRegression → Message → MessageLite
    Annotations
    @Override()
  49. def newBuilderForType(parent: BuilderParent): Builder
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3 → AbstractMessage
  50. def newInstance(unused: UnusedPrivateParameter): AnyRef
    Attributes
    protected[v0]
    Definition Classes
    OneDimensionalRegression → GeneratedMessageV3
    Annotations
    @Override() @SuppressWarnings()
  51. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  52. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  53. def parseUnknownField(input: CodedInputStream, unknownFields: Builder, extensionRegistry: ExtensionRegistryLite, tag: Int): Boolean
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
    Annotations
    @throws(classOf[java.io.IOException])
  54. def parseUnknownFieldProto3(input: CodedInputStream, unknownFields: Builder, extensionRegistry: ExtensionRegistryLite, tag: Int): Boolean
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
    Annotations
    @throws(classOf[java.io.IOException])
  55. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  56. def toBuilder(): Builder
    Definition Classes
    OneDimensionalRegression → Message → MessageLite
    Annotations
    @Override()
  57. def toByteArray(): Array[Byte]
    Definition Classes
    AbstractMessageLite → MessageLite
  58. def toByteString(): ByteString
    Definition Classes
    AbstractMessageLite → MessageLite
  59. final def toString(): String
    Definition Classes
    AbstractMessage → Message → AnyRef → Any
  60. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  61. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  62. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  63. def writeDelimitedTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])
  64. def writeReplace(): AnyRef
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
    Annotations
    @throws(classOf[java.io.ObjectStreamException])
  65. def writeTo(output: CodedOutputStream): Unit
    Definition Classes
    OneDimensionalRegression → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  66. def writeTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])

Deprecated Value Members

  1. def internalGetMapField(fieldNumber: Int): MapField[_ <: AnyRef, _ <: AnyRef]
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
    Annotations
    @Deprecated
    Deprecated
  2. def mergeFromAndMakeImmutableInternal(input: CodedInputStream, extensionRegistry: ExtensionRegistryLite): Unit
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
    Annotations
    @throws(classOf[com.google.protobuf.InvalidProtocolBufferException]) @Deprecated
    Deprecated

Inherited from OneDimensionalRegressionOrBuilder

Inherited from GeneratedMessageV3

Inherited from Serializable

Inherited from AbstractMessage

Inherited from Message

Inherited from MessageOrBuilder

Inherited from AbstractMessageLite[MessageType, BuilderType]

Inherited from MessageLite

Inherited from MessageLiteOrBuilder

Inherited from AnyRef

Inherited from Any

Ungrouped