trait DatasetFeatureStatisticsOrBuilder extends MessageOrBuilder
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- abstract def findInitializationErrors(): List[String]
- Definition Classes
- MessageOrBuilder
- abstract def getAllFields(): Map[FieldDescriptor, AnyRef]
- Definition Classes
- MessageOrBuilder
- abstract def getCrossFeatures(index: Int): CrossFeatureStatistics
Cross feature statistics for the dataset.
Cross feature statistics for the dataset.
repeated .tensorflow.metadata.v0.CrossFeatureStatistics cross_features = 5; - abstract def getCrossFeaturesCount(): Int
Cross feature statistics for the dataset.
Cross feature statistics for the dataset.
repeated .tensorflow.metadata.v0.CrossFeatureStatistics cross_features = 5; - abstract def getCrossFeaturesList(): List[CrossFeatureStatistics]
Cross feature statistics for the dataset.
Cross feature statistics for the dataset.
repeated .tensorflow.metadata.v0.CrossFeatureStatistics cross_features = 5; - abstract def getCrossFeaturesOrBuilder(index: Int): CrossFeatureStatisticsOrBuilder
Cross feature statistics for the dataset.
Cross feature statistics for the dataset.
repeated .tensorflow.metadata.v0.CrossFeatureStatistics cross_features = 5; - abstract def getCrossFeaturesOrBuilderList(): List[_ <: CrossFeatureStatisticsOrBuilder]
Cross feature statistics for the dataset.
Cross feature statistics for the dataset.
repeated .tensorflow.metadata.v0.CrossFeatureStatistics cross_features = 5; - abstract def getDefaultInstanceForType(): Message
- Definition Classes
- MessageOrBuilder → MessageLiteOrBuilder
- abstract def getDescriptorForType(): Descriptor
- Definition Classes
- MessageOrBuilder
- abstract def getFeatures(index: Int): FeatureNameStatistics
The feature statistics for the dataset.
The feature statistics for the dataset.
repeated .tensorflow.metadata.v0.FeatureNameStatistics features = 3; - abstract def getFeaturesCount(): Int
The feature statistics for the dataset.
The feature statistics for the dataset.
repeated .tensorflow.metadata.v0.FeatureNameStatistics features = 3; - abstract def getFeaturesList(): List[FeatureNameStatistics]
The feature statistics for the dataset.
The feature statistics for the dataset.
repeated .tensorflow.metadata.v0.FeatureNameStatistics features = 3; - abstract def getFeaturesOrBuilder(index: Int): FeatureNameStatisticsOrBuilder
The feature statistics for the dataset.
The feature statistics for the dataset.
repeated .tensorflow.metadata.v0.FeatureNameStatistics features = 3; - abstract def getFeaturesOrBuilderList(): List[_ <: FeatureNameStatisticsOrBuilder]
The feature statistics for the dataset.
The feature statistics for the dataset.
repeated .tensorflow.metadata.v0.FeatureNameStatistics features = 3; - abstract def getField(field: FieldDescriptor): AnyRef
- Definition Classes
- MessageOrBuilder
- abstract def getInitializationErrorString(): String
- Definition Classes
- MessageOrBuilder
- abstract def getName(): String
The name of the dataset.
The name of the dataset.
string name = 1;- returns
The name.
- abstract def getNameBytes(): ByteString
The name of the dataset.
The name of the dataset.
string name = 1;- returns
The bytes for name.
- abstract def getNumExamples(): Long
The number of examples in the dataset.
The number of examples in the dataset.
uint64 num_examples = 2;- returns
The numExamples.
- abstract def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
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- MessageOrBuilder
- abstract def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
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- abstract def getRepeatedFieldCount(field: FieldDescriptor): Int
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- abstract def getUnknownFields(): UnknownFieldSet
- Definition Classes
- MessageOrBuilder
- abstract def getWeightedNumExamples(): Double
Only valid if the weight feature was specified. Treats a missing weighted feature as zero.
Only valid if the weight feature was specified. Treats a missing weighted feature as zero.
double weighted_num_examples = 4;- returns
The weightedNumExamples.
- abstract def hasField(field: FieldDescriptor): Boolean
- Definition Classes
- MessageOrBuilder
- abstract def hasOneof(oneof: OneofDescriptor): Boolean
- Definition Classes
- MessageOrBuilder
- abstract def isInitialized(): Boolean
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- MessageLiteOrBuilder
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