Packages

t

org.tensorflow.metadata.v0

DatasetConstraintsOrBuilder

trait DatasetConstraintsOrBuilder extends MessageOrBuilder

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Inherited
  1. DatasetConstraintsOrBuilder
  2. MessageOrBuilder
  3. MessageLiteOrBuilder
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Abstract Value Members

  1. abstract def findInitializationErrors(): List[String]
    Definition Classes
    MessageOrBuilder
  2. abstract def getAllFields(): Map[FieldDescriptor, AnyRef]
    Definition Classes
    MessageOrBuilder
  3. abstract def getDefaultInstanceForType(): Message
    Definition Classes
    MessageOrBuilder → MessageLiteOrBuilder
  4. abstract def getDescriptorForType(): Descriptor
    Definition Classes
    MessageOrBuilder
  5. abstract def getField(field: FieldDescriptor): AnyRef
    Definition Classes
    MessageOrBuilder
  6. abstract def getInitializationErrorString(): String
    Definition Classes
    MessageOrBuilder
  7. 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.

  8. 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.

  9. 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.

  10. 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;

  11. 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.

  12. 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;

  13. abstract def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    MessageOrBuilder
  14. abstract def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    MessageOrBuilder
  15. abstract def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    MessageOrBuilder
  16. abstract def getUnknownFields(): UnknownFieldSet
    Definition Classes
    MessageOrBuilder
  17. abstract def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    MessageOrBuilder
  18. 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.

  19. 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.

  20. 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.

  21. 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.

  22. abstract def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    MessageOrBuilder
  23. abstract def isInitialized(): Boolean
    Definition Classes
    MessageLiteOrBuilder