final class TopKClassification extends GeneratedMessage with TopKClassificationOrBuilder
Configuration for a top-K classification task. In this problem type, there are n_classes possible label values, and the model predicts n_predicted_labels labels. The output is a sequence of n_predicted_labels labels, out of n_classes possible classes. The order of the predicted output labels is determined by the predictions_order field. (*) MultiClassClassification is the same as TopKClassification with n_predicted_labels = 1. (*) TopKClassification does NOT mean multi-class multi-label classification: e.g., the output contains a sequence of labels, all coming from the same label column in the data.
Protobuf type tensorflow.metadata.v0.TopKClassification
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 - TopKClassification.java
 
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- TopKClassification
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 -    def getDefaultInstanceForType(): TopKClassification
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 - TopKClassification → MessageOrBuilder → MessageLiteOrBuilder
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 -    def getDescriptorForType(): Descriptor
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 -    def getExampleWeight(): String
(optional) The weight column.
(optional) The weight column.
string example_weight = 2;- returns
 The exampleWeight.
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 - TopKClassification → TopKClassificationOrBuilder
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 - @Override()
 
 -    def getExampleWeightBytes(): ByteString
(optional) The weight column.
(optional) The weight column.
string example_weight = 2;- returns
 The bytes for exampleWeight.
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 - TopKClassification → TopKClassificationOrBuilder
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 - @Override()
 
 -    def getField(field: FieldDescriptor): AnyRef
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 -    def getInitializationErrorString(): String
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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.
- Definition Classes
 - TopKClassification → TopKClassificationOrBuilder
 
 -    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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 - TopKClassification → TopKClassificationOrBuilder
 
 -    def getLabelIdCase(): LabelIdCase
- Definition Classes
 - TopKClassification → TopKClassificationOrBuilder
 
 -    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 = 6;- returns
 The labelPath.
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 - TopKClassification → TopKClassificationOrBuilder
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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 = 6;- Definition Classes
 - TopKClassification → TopKClassificationOrBuilder
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 -    def getNClasses(): Long
(optional) The number of label classes. If unset, the solution provider is expected to infer the number of classes from the data.
(optional) The number of label classes. If unset, the solution provider is expected to infer the number of classes from the data.
uint64 n_classes = 3;- returns
 The nClasses.
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 - TopKClassification → TopKClassificationOrBuilder
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 - @Override()
 
 -    def getNPredictedLabels(): Long
(optional) The number of class labels to predict. If unset, we assume 1.
(optional) The number of class labels to predict. If unset, we assume 1.
uint64 n_predicted_labels = 4;- returns
 The nPredictedLabels.
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 - TopKClassification → TopKClassificationOrBuilder
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 -    def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
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 - GeneratedMessage → AbstractMessage → MessageOrBuilder
 
 -    def getParserForType(): Parser[TopKClassification]
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 - TopKClassification → GeneratedMessage → Message → MessageLite
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 -    def getPredictionsOrder(): Order
.tensorflow.metadata.v0.TopKClassification.Order predictions_order = 5;.tensorflow.metadata.v0.TopKClassification.Order predictions_order = 5;- returns
 The predictionsOrder.
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 - TopKClassification → TopKClassificationOrBuilder
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 - @Override()
 
 -    def getPredictionsOrderValue(): Int
.tensorflow.metadata.v0.TopKClassification.Order predictions_order = 5;.tensorflow.metadata.v0.TopKClassification.Order predictions_order = 5;- returns
 The enum numeric value on the wire for predictionsOrder.
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 -    def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
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 -    def getUnknownFields(): UnknownFieldSet
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 -    def hasField(field: FieldDescriptor): Boolean
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 -    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
 - TopKClassification → TopKClassificationOrBuilder
 
 -    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 = 6;- returns
 Whether the labelPath field is set.
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