final class MultiDimensionalRegression extends GeneratedMessageV3 with MultiDimensionalRegressionOrBuilder
A multi-dimensional regression task. Similar to OneDimensionalRegression, MultiDimensionalRegression predicts continuous real numbers. However instead of predicting a single scalar value per example, we predict a fixed dimensional vector of values. By default the range is any float -inf to inf, but specific sub-types (e.g. probability) define more narrow ranges.
Protobuf type tensorflow.metadata.v0.MultiDimensionalRegression
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- def getDefaultInstanceForType(): MultiDimensionalRegression
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- 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.
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- MultiDimensionalRegression → MultiDimensionalRegressionOrBuilder
- 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.
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- MultiDimensionalRegression → MultiDimensionalRegressionOrBuilder
- def getLabelIdCase(): LabelIdCase
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- MultiDimensionalRegression → MultiDimensionalRegressionOrBuilder
- 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.
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- MultiDimensionalRegression → MultiDimensionalRegressionOrBuilder
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- 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
- MultiDimensionalRegression → MultiDimensionalRegressionOrBuilder
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- def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
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- def getParserForType(): Parser[MultiDimensionalRegression]
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- 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.MultiDimensionalRegression.Probability probability = 4;- returns
The probability.
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- 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.MultiDimensionalRegression.Probability probability = 4;- Definition Classes
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- def getWeight(): String
(optional) The weight column.
(optional) The weight column.
string weight = 2;- returns
The weight.
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- def getWeightBytes(): ByteString
(optional) The weight column.
(optional) The weight column.
string weight = 2;- returns
The bytes for weight.
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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
- MultiDimensionalRegression → MultiDimensionalRegressionOrBuilder
- 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.
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- def hasOneof(oneof: OneofDescriptor): Boolean
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- 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.MultiDimensionalRegression.Probability probability = 4;- returns
Whether the probability field is set.
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