Package org.tensorflow.metadata.v0

Class TensorRepresentationGroup.Builder

  • All Implemented Interfaces:
    com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable, TensorRepresentationGroupOrBuilder
    Enclosing class:
    TensorRepresentationGroup
    public static final class TensorRepresentationGroup.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<TensorRepresentationGroup.Builder>
implements TensorRepresentationGroupOrBuilder
     A TensorRepresentationGroup is a collection of TensorRepresentations with
 names. These names may serve as identifiers when converting the dataset
 to a collection of Tensors or tf.CompositeTensors.
 For example, given the following group:
 {
   key: "dense_tensor"
   tensor_representation {
     dense_tensor {
       column_name: "univalent_feature"
       shape {
         dim {
           size: 1
         }
       }
       default_value {
         float_value: 0
       }
     }
   }
 }
 {
   key: "varlen_sparse_tensor"
   tensor_representation {
     varlen_sparse_tensor {
       column_name: "multivalent_feature"
     }
   }
 }
 Then the schema is expected to have feature "univalent_feature" and
 "multivalent_feature", and when a batch of data is converted to Tensors using
 this TensorRepresentationGroup, the result may be the following dict:
 {
   "dense_tensor": tf.Tensor(...),
   "varlen_sparse_tensor": tf.SparseTensor(...),
 }
    Protobuf type tensorflow.metadata.v0.TensorRepresentationGroup