Packages

t

org.tensorflow.metadata.v0

OneDimensionalRegressionOrBuilder

trait OneDimensionalRegressionOrBuilder extends MessageOrBuilder

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Inherited
  1. OneDimensionalRegressionOrBuilder
  2. MessageOrBuilder
  3. MessageLiteOrBuilder
  4. AnyRef
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Abstract Value Members

  1. abstract def findInitializationErrors(): List[String]
    Definition Classes
    MessageOrBuilder
  2. abstract def getAllFields(): Map[FieldDescriptor, AnyRef]
    Definition Classes
    MessageOrBuilder
  3. abstract 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.

  4. abstract 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;

  5. abstract def getDefaultInstanceForType(): Message
    Definition Classes
    MessageOrBuilder → MessageLiteOrBuilder
  6. abstract def getDescriptorForType(): Descriptor
    Definition Classes
    MessageOrBuilder
  7. abstract def getField(field: FieldDescriptor): AnyRef
    Definition Classes
    MessageOrBuilder
  8. abstract def getInitializationErrorString(): String
    Definition Classes
    MessageOrBuilder
  9. abstract 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.

  10. abstract 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.

  11. abstract def getLabelIdCase(): LabelIdCase
  12. abstract 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.

  13. abstract 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;

  14. abstract def getLabelTypeCase(): LabelTypeCase
  15. abstract def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    MessageOrBuilder
  16. abstract 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.

  17. abstract 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;

  18. abstract def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    MessageOrBuilder
  19. abstract def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    MessageOrBuilder
  20. abstract def getUnknownFields(): UnknownFieldSet
    Definition Classes
    MessageOrBuilder
  21. abstract def getWeight(): String

    (optional) The weight column.


    (optional) The weight column.

    string weight = 2;

    returns

    The weight.

  22. abstract def getWeightBytes(): ByteString

    (optional) The weight column.


    (optional) The weight column.

    string weight = 2;

    returns

    The bytes for weight.

  23. abstract 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.

  24. abstract def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    MessageOrBuilder
  25. abstract 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.

  26. abstract 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.

  27. abstract def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    MessageOrBuilder
  28. abstract 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.

  29. abstract def isInitialized(): Boolean
    Definition Classes
    MessageLiteOrBuilder