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. def equals(obj: AnyRef): Boolean
    Definition Classes
    OneDimensionalRegression → 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 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()
  5. 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()
  6. def getDefaultInstanceForType(): OneDimensionalRegression
    Definition Classes
    OneDimensionalRegression → MessageOrBuilder → MessageLiteOrBuilder
    Annotations
    @Override()
  7. def getDescriptorForType(): Descriptor
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  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
    OneDimensionalRegression → OneDimensionalRegressionOrBuilder
  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
    OneDimensionalRegression → OneDimensionalRegressionOrBuilder
  12. def getLabelIdCase(): LabelIdCase
    Definition Classes
    OneDimensionalRegression → OneDimensionalRegressionOrBuilder
  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
    OneDimensionalRegression → OneDimensionalRegressionOrBuilder
    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
    OneDimensionalRegression → OneDimensionalRegressionOrBuilder
    Annotations
    @Override()
  15. def getLabelTypeCase(): LabelTypeCase
    Definition Classes
    OneDimensionalRegression → OneDimensionalRegressionOrBuilder
  16. def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  17. def getParserForType(): Parser[OneDimensionalRegression]
    Definition Classes
    OneDimensionalRegression → GeneratedMessageV3 → Message → MessageLite
    Annotations
    @Override()
  18. 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()
  19. 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()
  20. def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  21. def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  22. def getSerializedSize(): Int
    Definition Classes
    OneDimensionalRegression → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  23. def getUnknownFields(): UnknownFieldSet
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  24. def getWeight(): String

    (optional) The weight column.


    (optional) The weight column.

    string weight = 2;

    returns

    The weight.

    Definition Classes
    OneDimensionalRegression → OneDimensionalRegressionOrBuilder
    Annotations
    @Override()
  25. 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()
  26. 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()
  27. def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  28. 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
  29. 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()
  30. def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  31. 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()
  32. def hashCode(): Int
    Definition Classes
    OneDimensionalRegression → AbstractMessage → Message → AnyRef → Any
    Annotations
    @Override()
  33. final def isInitialized(): Boolean
    Definition Classes
    OneDimensionalRegression → GeneratedMessageV3 → AbstractMessage → MessageLiteOrBuilder
    Annotations
    @Override()
  34. def newBuilderForType(): Builder
    Definition Classes
    OneDimensionalRegression → Message → MessageLite
    Annotations
    @Override()
  35. def toBuilder(): Builder
    Definition Classes
    OneDimensionalRegression → Message → MessageLite
    Annotations
    @Override()
  36. def toByteArray(): Array[Byte]
    Definition Classes
    AbstractMessageLite → MessageLite
  37. def toByteString(): ByteString
    Definition Classes
    AbstractMessageLite → MessageLite
  38. final def toString(): String
    Definition Classes
    AbstractMessage → Message → AnyRef → Any
  39. def writeDelimitedTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])
  40. def writeTo(output: CodedOutputStream): Unit
    Definition Classes
    OneDimensionalRegression → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  41. def writeTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])