class_docstr: Represents sequences of numeric data.
class_docstr_tok: ["Represents","sequences","of","numeric","data","."]
docstr: See `FeatureColumn` base class.
docstr_tok: ["See","`","FeatureColumn","`","base","class","."]
code: def name(self):
      """See `FeatureColumn` base class."""
      return self.key
  
imports: import collections
  from tensorflow.python.feature_column import feature_column_v2
  from tensorflow.python.feature_column import serialization
  from tensorflow.python.feature_column import utils
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import parsing_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.util import deprecation
  from tensorflow.python.util.tf_export import tf_export
  from tensorflow.tools.docs import doc_controls
label_desc: Use image node_id 2 for calling the SequenceNumericColumn obj's underlying member method code with example usage: obj.name() and returns: self