Packages

c

org.tensorflow.metadata.v0

DatasetConstraints

final class DatasetConstraints extends GeneratedMessageV3 with DatasetConstraintsOrBuilder

Constraints on the entire dataset.

Protobuf type tensorflow.metadata.v0.DatasetConstraints

Source
DatasetConstraints.java
Linear Supertypes
DatasetConstraintsOrBuilder, GeneratedMessageV3, Serializable, AbstractMessage, Message, MessageOrBuilder, AbstractMessageLite[MessageType, BuilderType], MessageLite, MessageLiteOrBuilder, AnyRef, Any
Ordering
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  2. By Inheritance
Inherited
  1. DatasetConstraints
  2. DatasetConstraintsOrBuilder
  3. GeneratedMessageV3
  4. Serializable
  5. AbstractMessage
  6. Message
  7. MessageOrBuilder
  8. AbstractMessageLite
  9. MessageLite
  10. MessageLiteOrBuilder
  11. AnyRef
  12. Any
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Visibility
  1. Public
  2. Protected

Value Members

  1. def equals(obj: AnyRef): Boolean
    Definition Classes
    DatasetConstraints → AbstractMessage → Message → AnyRef → Any
    Annotations
    @Override()
  2. def findInitializationErrors(): List[String]
    Definition Classes
    AbstractMessage → MessageOrBuilder
  3. def getAllFields(): Map[FieldDescriptor, AnyRef]
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  4. def getDefaultInstanceForType(): DatasetConstraints
    Definition Classes
    DatasetConstraints → MessageOrBuilder → MessageLiteOrBuilder
    Annotations
    @Override()
  5. def getDescriptorForType(): Descriptor
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  6. def getField(field: FieldDescriptor): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  7. def getInitializationErrorString(): String
    Definition Classes
    AbstractMessage → MessageOrBuilder
  8. 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.

    Definition Classes
    DatasetConstraints → DatasetConstraintsOrBuilder
    Annotations
    @Override()
  9. 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.

    Definition Classes
    DatasetConstraints → DatasetConstraintsOrBuilder
    Annotations
    @Override()
  10. 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.

    Definition Classes
    DatasetConstraints → DatasetConstraintsOrBuilder
    Annotations
    @Override()
  11. 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;

    Definition Classes
    DatasetConstraints → DatasetConstraintsOrBuilder
    Annotations
    @Override()
  12. 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.

    Definition Classes
    DatasetConstraints → DatasetConstraintsOrBuilder
    Annotations
    @Override()
  13. 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;

    Definition Classes
    DatasetConstraints → DatasetConstraintsOrBuilder
    Annotations
    @Override()
  14. def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  15. def getParserForType(): Parser[DatasetConstraints]
    Definition Classes
    DatasetConstraints → GeneratedMessageV3 → Message → MessageLite
    Annotations
    @Override()
  16. def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  17. def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  18. def getSerializedSize(): Int
    Definition Classes
    DatasetConstraints → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  19. def getUnknownFields(): UnknownFieldSet
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  20. def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  21. 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.

    Definition Classes
    DatasetConstraints → DatasetConstraintsOrBuilder
    Annotations
    @Override()
  22. 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.

    Definition Classes
    DatasetConstraints → DatasetConstraintsOrBuilder
    Annotations
    @Override()
  23. 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.

    Definition Classes
    DatasetConstraints → DatasetConstraintsOrBuilder
    Annotations
    @Override()
  24. 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.

    Definition Classes
    DatasetConstraints → DatasetConstraintsOrBuilder
    Annotations
    @Override()
  25. def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  26. def hashCode(): Int
    Definition Classes
    DatasetConstraints → AbstractMessage → Message → AnyRef → Any
    Annotations
    @Override()
  27. final def isInitialized(): Boolean
    Definition Classes
    DatasetConstraints → GeneratedMessageV3 → AbstractMessage → MessageLiteOrBuilder
    Annotations
    @Override()
  28. def newBuilderForType(): Builder
    Definition Classes
    DatasetConstraints → Message → MessageLite
    Annotations
    @Override()
  29. def toBuilder(): Builder
    Definition Classes
    DatasetConstraints → Message → MessageLite
    Annotations
    @Override()
  30. def toByteArray(): Array[Byte]
    Definition Classes
    AbstractMessageLite → MessageLite
  31. def toByteString(): ByteString
    Definition Classes
    AbstractMessageLite → MessageLite
  32. final def toString(): String
    Definition Classes
    AbstractMessage → Message → AnyRef → Any
  33. def writeDelimitedTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])
  34. def writeTo(output: CodedOutputStream): Unit
    Definition Classes
    DatasetConstraints → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  35. def writeTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])