trait OneDimensionalRegressionOrBuilder extends MessageOrBuilder
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Abstract Value Members
- abstract def findInitializationErrors(): List[String]
- Definition Classes
- MessageOrBuilder
- abstract def getAllFields(): Map[FieldDescriptor, AnyRef]
- Definition Classes
- MessageOrBuilder
- 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.
- 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; - abstract def getDefaultInstanceForType(): Message
- Definition Classes
- MessageOrBuilder → MessageLiteOrBuilder
- abstract def getDescriptorForType(): Descriptor
- Definition Classes
- MessageOrBuilder
- abstract def getField(field: FieldDescriptor): AnyRef
- Definition Classes
- MessageOrBuilder
- abstract def getInitializationErrorString(): String
- Definition Classes
- MessageOrBuilder
- 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.
- 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.
- abstract def getLabelIdCase(): LabelIdCase
- 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.
- 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; - abstract def getLabelTypeCase(): LabelTypeCase
- abstract def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
- Definition Classes
- MessageOrBuilder
- 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.
- 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; - abstract def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
- Definition Classes
- MessageOrBuilder
- abstract def getRepeatedFieldCount(field: FieldDescriptor): Int
- Definition Classes
- MessageOrBuilder
- abstract def getUnknownFields(): UnknownFieldSet
- Definition Classes
- MessageOrBuilder
- abstract def getWeight(): String
(optional) The weight column.
(optional) The weight column.
string weight = 2;- returns
The weight.
- abstract def getWeightBytes(): ByteString
(optional) The weight column.
(optional) The weight column.
string weight = 2;- returns
The bytes for weight.
- 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.
- abstract def hasField(field: FieldDescriptor): Boolean
- Definition Classes
- MessageOrBuilder
- 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.
- 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.
- abstract def hasOneof(oneof: OneofDescriptor): Boolean
- Definition Classes
- MessageOrBuilder
- 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.
- abstract def isInitialized(): Boolean
- Definition Classes
- MessageLiteOrBuilder
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- final def !=(arg0: Any): Boolean
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- def toString(): String
- Definition Classes
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- Definition Classes
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