Interface TensorRepresentation.DenseTensorOrBuilder

    • Method Summary

      All Methods Instance Methods Abstract Methods 
      Modifier and Type Method Description
      String getColumnName()
      Identifies the column in the dataset that provides the values of this Tensor.
      com.google.protobuf.ByteString getColumnNameBytes()
      Identifies the column in the dataset that provides the values of this Tensor.
      TensorRepresentation.DefaultValue getDefaultValue()
      If this column is missing values in a row, the default_value will be used to fill that row.
      TensorRepresentation.DefaultValueOrBuilder getDefaultValueOrBuilder()
      If this column is missing values in a row, the default_value will be used to fill that row.
      FixedShape getShape()
      The shape of each row of the data (i.e.
      FixedShapeOrBuilder getShapeOrBuilder()
      The shape of each row of the data (i.e.
      boolean hasColumnName()
      Identifies the column in the dataset that provides the values of this Tensor.
      boolean hasDefaultValue()
      If this column is missing values in a row, the default_value will be used to fill that row.
      boolean hasShape()
      The shape of each row of the data (i.e.
      • Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

        isInitialized
      • Methods inherited from interface com.google.protobuf.MessageOrBuilder

        findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
    • Method Detail

      • hasColumnName

        boolean hasColumnName()
         Identifies the column in the dataset that provides the values of this
         Tensor.
         
        optional string column_name = 1;
        Returns:
        Whether the columnName field is set.
      • getColumnName

        String getColumnName()
         Identifies the column in the dataset that provides the values of this
         Tensor.
         
        optional string column_name = 1;
        Returns:
        The columnName.
      • getColumnNameBytes

        com.google.protobuf.ByteString getColumnNameBytes()
         Identifies the column in the dataset that provides the values of this
         Tensor.
         
        optional string column_name = 1;
        Returns:
        The bytes for columnName.
      • hasShape

        boolean hasShape()
         The shape of each row of the data (i.e. does not include the batch
         dimension)
         
        optional .tensorflow.metadata.v0.FixedShape shape = 2;
        Returns:
        Whether the shape field is set.
      • getShape

        FixedShape getShape()
         The shape of each row of the data (i.e. does not include the batch
         dimension)
         
        optional .tensorflow.metadata.v0.FixedShape shape = 2;
        Returns:
        The shape.
      • getShapeOrBuilder

        FixedShapeOrBuilder getShapeOrBuilder()
         The shape of each row of the data (i.e. does not include the batch
         dimension)
         
        optional .tensorflow.metadata.v0.FixedShape shape = 2;
      • hasDefaultValue

        boolean hasDefaultValue()
         If this column is missing values in a row, the default_value will be
         used to fill that row.
         
        optional .tensorflow.metadata.v0.TensorRepresentation.DefaultValue default_value = 3;
        Returns:
        Whether the defaultValue field is set.
      • getDefaultValue

        TensorRepresentation.DefaultValue getDefaultValue()
         If this column is missing values in a row, the default_value will be
         used to fill that row.
         
        optional .tensorflow.metadata.v0.TensorRepresentation.DefaultValue default_value = 3;
        Returns:
        The defaultValue.
      • getDefaultValueOrBuilder

        TensorRepresentation.DefaultValueOrBuilder getDefaultValueOrBuilder()
         If this column is missing values in a row, the default_value will be
         used to fill that row.
         
        optional .tensorflow.metadata.v0.TensorRepresentation.DefaultValue default_value = 3;