trait DatasetConstraintsOrBuilder extends MessageOrBuilder
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-   abstract  def findInitializationErrors(): List[String]
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 - MessageOrBuilder
 
 -   abstract  def getAllFields(): Map[FieldDescriptor, AnyRef]
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 -   abstract  def getDefaultInstanceForType(): Message
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 -   abstract  def getDescriptorForType(): Descriptor
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 -   abstract  def getField(field: FieldDescriptor): AnyRef
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 -   abstract  def getInitializationErrorString(): String
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 -   abstract  def getMaxExamplesCount(): Long
Maximum number of examples in the dataset.
Maximum number of examples in the dataset.
optional int64 max_examples_count = 4;- returns
 The maxExamplesCount.
 -   abstract  def getMinExamplesCount(): Long
Minimum number of examples in the dataset.
Minimum number of examples in the dataset.
optional int64 min_examples_count = 3;- returns
 The minExamplesCount.
 -   abstract  def getNumExamplesDriftComparator(): NumericValueComparator
Tests differences in number of examples between the current data and the previous span.
Tests differences in number of examples between the current data and the previous span.
optional .tensorflow.metadata.v0.NumericValueComparator num_examples_drift_comparator = 1;- returns
 The numExamplesDriftComparator.
 -   abstract  def getNumExamplesDriftComparatorOrBuilder(): NumericValueComparatorOrBuilder
Tests differences in number of examples between the current data and the previous span.
Tests differences in number of examples between the current data and the previous span.
optional .tensorflow.metadata.v0.NumericValueComparator num_examples_drift_comparator = 1; -   abstract  def getNumExamplesVersionComparator(): NumericValueComparator
Tests comparisions in number of examples between the current data and the previous version of that data.
Tests comparisions in number of examples between the current data and the previous version of that data.
optional .tensorflow.metadata.v0.NumericValueComparator num_examples_version_comparator = 2;- returns
 The numExamplesVersionComparator.
 -   abstract  def getNumExamplesVersionComparatorOrBuilder(): NumericValueComparatorOrBuilder
Tests comparisions in number of examples between the current data and the previous version of that data.
Tests comparisions in number of examples between the current data and the previous version of that data.
optional .tensorflow.metadata.v0.NumericValueComparator num_examples_version_comparator = 2; -   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
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 -   abstract  def hasField(field: FieldDescriptor): Boolean
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 - MessageOrBuilder
 
 -   abstract  def hasMaxExamplesCount(): Boolean
Maximum number of examples in the dataset.
Maximum number of examples in the dataset.
optional int64 max_examples_count = 4;- returns
 Whether the maxExamplesCount field is set.
 -   abstract  def hasMinExamplesCount(): Boolean
Minimum number of examples in the dataset.
Minimum number of examples in the dataset.
optional int64 min_examples_count = 3;- returns
 Whether the minExamplesCount field is set.
 -   abstract  def hasNumExamplesDriftComparator(): Boolean
Tests differences in number of examples between the current data and the previous span.
Tests differences in number of examples between the current data and the previous span.
optional .tensorflow.metadata.v0.NumericValueComparator num_examples_drift_comparator = 1;- returns
 Whether the numExamplesDriftComparator field is set.
 -   abstract  def hasNumExamplesVersionComparator(): Boolean
Tests comparisions in number of examples between the current data and the previous version of that data.
Tests comparisions in number of examples between the current data and the previous version of that data.
optional .tensorflow.metadata.v0.NumericValueComparator num_examples_version_comparator = 2;- returns
 Whether the numExamplesVersionComparator field is set.
 -   abstract  def hasOneof(oneof: OneofDescriptor): Boolean
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 - MessageOrBuilder
 
 -   abstract  def isInitialized(): Boolean
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 - MessageLiteOrBuilder
 
 
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-   final  def !=(arg0: Any): Boolean
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