trait SparseFeatureOrBuilder extends MessageOrBuilder
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-   abstract  def findInitializationErrors(): List[String]
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 - MessageOrBuilder
 
 -   abstract  def getAllFields(): Map[FieldDescriptor, AnyRef]
- Definition Classes
 - MessageOrBuilder
 
 -   abstract  def getDefaultInstanceForType(): Message
- Definition Classes
 - MessageOrBuilder → MessageLiteOrBuilder
 
 -   abstract  def getDenseShape(): FixedShape
Shape of the sparse tensor that this SparseFeature represents. Currently not supported. TODO(b/109669962): Consider deriving this from the referred features.
Shape of the sparse tensor that this SparseFeature represents. Currently not supported. TODO(b/109669962): Consider deriving this from the referred features.
optional .tensorflow.metadata.v0.FixedShape dense_shape = 5;- returns
 The denseShape.
 -   abstract  def getDenseShapeOrBuilder(): FixedShapeOrBuilder
Shape of the sparse tensor that this SparseFeature represents. Currently not supported. TODO(b/109669962): Consider deriving this from the referred features.
Shape of the sparse tensor that this SparseFeature represents. Currently not supported. TODO(b/109669962): Consider deriving this from the referred features.
optional .tensorflow.metadata.v0.FixedShape dense_shape = 5; -   abstract  def getDescriptorForType(): Descriptor
- Definition Classes
 - MessageOrBuilder
 
 -   abstract  def getField(field: FieldDescriptor): AnyRef
- Definition Classes
 - MessageOrBuilder
 
 -   abstract  def getIndexFeature(index: Int): IndexFeature
Features that represent indexes. Should be integers >= 0.
Features that represent indexes. Should be integers >= 0.
repeated .tensorflow.metadata.v0.SparseFeature.IndexFeature index_feature = 6; -   abstract  def getIndexFeatureCount(): Int
Features that represent indexes. Should be integers >= 0.
Features that represent indexes. Should be integers >= 0.
repeated .tensorflow.metadata.v0.SparseFeature.IndexFeature index_feature = 6; -   abstract  def getIndexFeatureList(): List[IndexFeature]
Features that represent indexes. Should be integers >= 0.
Features that represent indexes. Should be integers >= 0.
repeated .tensorflow.metadata.v0.SparseFeature.IndexFeature index_feature = 6; -   abstract  def getIndexFeatureOrBuilder(index: Int): IndexFeatureOrBuilder
Features that represent indexes. Should be integers >= 0.
Features that represent indexes. Should be integers >= 0.
repeated .tensorflow.metadata.v0.SparseFeature.IndexFeature index_feature = 6; -   abstract  def getIndexFeatureOrBuilderList(): List[_ <: IndexFeatureOrBuilder]
Features that represent indexes. Should be integers >= 0.
Features that represent indexes. Should be integers >= 0.
repeated .tensorflow.metadata.v0.SparseFeature.IndexFeature index_feature = 6; -   abstract  def getInitializationErrorString(): String
- Definition Classes
 - MessageOrBuilder
 
 -   abstract  def getIsSorted(): Boolean
If true then the index values are already sorted lexicographically.
If true then the index values are already sorted lexicographically.
optional bool is_sorted = 8;- returns
 The isSorted.
 -   abstract  def getLifecycleStage(): LifecycleStage
The lifecycle_stage determines where a feature is expected to be used, and therefore how important issues with it are.
The lifecycle_stage determines where a feature is expected to be used, and therefore how important issues with it are.
optional .tensorflow.metadata.v0.LifecycleStage lifecycle_stage = 7;- returns
 The lifecycleStage.
 -   abstract  def getName(): String
Name for the sparse feature. This should not clash with other features in the same schema.
Name for the sparse feature. This should not clash with other features in the same schema.
optional string name = 1;- returns
 The name.
 -   abstract  def getNameBytes(): ByteString
Name for the sparse feature. This should not clash with other features in the same schema.
Name for the sparse feature. This should not clash with other features in the same schema.
optional string name = 1;- returns
 The bytes for name.
 -   abstract  def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
- Definition Classes
 - MessageOrBuilder
 
 -   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 getValueFeature(): ValueFeature
required
required
optional .tensorflow.metadata.v0.SparseFeature.ValueFeature value_feature = 9;- returns
 The valueFeature.
 -   abstract  def getValueFeatureOrBuilder(): ValueFeatureOrBuilder
required
required
optional .tensorflow.metadata.v0.SparseFeature.ValueFeature value_feature = 9; -   abstract  def hasDenseShape(): Boolean
Shape of the sparse tensor that this SparseFeature represents. Currently not supported. TODO(b/109669962): Consider deriving this from the referred features.
Shape of the sparse tensor that this SparseFeature represents. Currently not supported. TODO(b/109669962): Consider deriving this from the referred features.
optional .tensorflow.metadata.v0.FixedShape dense_shape = 5;- returns
 Whether the denseShape field is set.
 -   abstract  def hasField(field: FieldDescriptor): Boolean
- Definition Classes
 - MessageOrBuilder
 
 -   abstract  def hasIsSorted(): Boolean
If true then the index values are already sorted lexicographically.
If true then the index values are already sorted lexicographically.
optional bool is_sorted = 8;- returns
 Whether the isSorted field is set.
 -   abstract  def hasLifecycleStage(): Boolean
The lifecycle_stage determines where a feature is expected to be used, and therefore how important issues with it are.
The lifecycle_stage determines where a feature is expected to be used, and therefore how important issues with it are.
optional .tensorflow.metadata.v0.LifecycleStage lifecycle_stage = 7;- returns
 Whether the lifecycleStage field is set.
 -   abstract  def hasName(): Boolean
Name for the sparse feature. This should not clash with other features in the same schema.
Name for the sparse feature. This should not clash with other features in the same schema.
optional string name = 1;- returns
 Whether the name field is set.
 -   abstract  def hasOneof(oneof: OneofDescriptor): Boolean
- Definition Classes
 - MessageOrBuilder
 
 -   abstract  def hasValueFeature(): Boolean
required
required
optional .tensorflow.metadata.v0.SparseFeature.ValueFeature value_feature = 9;- returns
 Whether the valueFeature field is set.
 -   abstract  def isInitialized(): Boolean
- Definition Classes
 - MessageLiteOrBuilder
 
 -   abstract  def getDeprecated(): Boolean
This field is no longer supported. Instead, use: lifecycle_stage: DEPRECATED TODO(b/111450258): remove this.
This field is no longer supported. Instead, use: lifecycle_stage: DEPRECATED TODO(b/111450258): remove this.
optional bool deprecated = 2 [deprecated = true];- returns
 The deprecated.
- Annotations
 - @Deprecated
 - Deprecated
 
 -   abstract  def getPresence(): FeaturePresence
Constraints on the presence of this feature in examples. Deprecated, this is inferred by the referred features.
Constraints on the presence of this feature in examples. Deprecated, this is inferred by the referred features.
optional .tensorflow.metadata.v0.FeaturePresence presence = 4 [deprecated = true];- returns
 The presence.
- Annotations
 - @Deprecated
 - Deprecated
 
 -   abstract  def getPresenceOrBuilder(): FeaturePresenceOrBuilder
Constraints on the presence of this feature in examples. Deprecated, this is inferred by the referred features.
Constraints on the presence of this feature in examples. Deprecated, this is inferred by the referred features.
optional .tensorflow.metadata.v0.FeaturePresence presence = 4 [deprecated = true];- Annotations
 - @Deprecated
 - Deprecated
 
 -   abstract  def getType(): FeatureType
Type of value feature. Deprecated, this is inferred by the referred features.
Type of value feature. Deprecated, this is inferred by the referred features.
optional .tensorflow.metadata.v0.FeatureType type = 10 [deprecated = true];- returns
 The type.
- Annotations
 - @Deprecated
 - Deprecated
 
 -   abstract  def hasDeprecated(): Boolean
This field is no longer supported. Instead, use: lifecycle_stage: DEPRECATED TODO(b/111450258): remove this.
This field is no longer supported. Instead, use: lifecycle_stage: DEPRECATED TODO(b/111450258): remove this.
optional bool deprecated = 2 [deprecated = true];- returns
 Whether the deprecated field is set.
- Annotations
 - @Deprecated
 - Deprecated
 
 -   abstract  def hasPresence(): Boolean
Constraints on the presence of this feature in examples. Deprecated, this is inferred by the referred features.
Constraints on the presence of this feature in examples. Deprecated, this is inferred by the referred features.
optional .tensorflow.metadata.v0.FeaturePresence presence = 4 [deprecated = true];- returns
 Whether the presence field is set.
- Annotations
 - @Deprecated
 - Deprecated
 
 -   abstract  def hasType(): Boolean
Type of value feature. Deprecated, this is inferred by the referred features.
Type of value feature. Deprecated, this is inferred by the referred features.
optional .tensorflow.metadata.v0.FeatureType type = 10 [deprecated = true];- returns
 Whether the type field is set.
- Annotations
 - @Deprecated
 - Deprecated
 
 
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-   final  def !=(arg0: Any): Boolean
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