final class MultiClassClassification extends GeneratedMessageV3 with MultiClassClassificationOrBuilder
Configuration for a multi-class classification task. In this problem type, there are n_classes possible label values, and the model predicts a single label. The output is one of the class labels, out of n_classes possible classes. The output type will correspond to the label column type.
Protobuf type tensorflow.metadata.v0.MultiClassClassification
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- def getClassSpecCase(): ClassSpecCase
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- def getDefaultInstanceForType(): MultiClassClassification
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- def getDynamicClassSpec(): DynamicClassSpec
The number of label classes that should be inferred dynamically from the data.
The number of label classes that should be inferred dynamically from the data.
.tensorflow.metadata.v0.DynamicClassSpec dynamic_class_spec = 4;
- returns
The dynamicClassSpec.
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- def getDynamicClassSpecOrBuilder(): DynamicClassSpecOrBuilder
The number of label classes that should be inferred dynamically from the data.
The number of label classes that should be inferred dynamically from the data.
.tensorflow.metadata.v0.DynamicClassSpec dynamic_class_spec = 4;
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- def getExampleWeight(): String
The weight column.
The weight column.
string example_weight = 2;
- returns
The exampleWeight.
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- def getExampleWeightBytes(): ByteString
The weight column.
The weight column.
string example_weight = 2;
- returns
The bytes for exampleWeight.
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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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- MultiClassClassification → MultiClassClassificationOrBuilder
- 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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- MultiClassClassification → MultiClassClassificationOrBuilder
- def getLabelIdCase(): LabelIdCase
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- 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 = 5;
- returns
The labelPath.
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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 = 5;
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- def getNClasses(): Long
The exact number of label classes.
The exact number of label classes.
uint64 n_classes = 3;
- returns
The nClasses.
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- def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
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- def getParserForType(): Parser[MultiClassClassification]
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- def hasDynamicClassSpec(): Boolean
The number of label classes that should be inferred dynamically from the data.
The number of label classes that should be inferred dynamically from the data.
.tensorflow.metadata.v0.DynamicClassSpec dynamic_class_spec = 4;
- returns
Whether the dynamicClassSpec field is set.
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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
- MultiClassClassification → MultiClassClassificationOrBuilder
- 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 = 5;
- returns
Whether the labelPath field is set.
- Definition Classes
- MultiClassClassification → MultiClassClassificationOrBuilder
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- def hasNClasses(): Boolean
The exact number of label classes.
The exact number of label classes.
uint64 n_classes = 3;
- returns
Whether the nClasses field is set.
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