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 get_config(self):
      """See 'FeatureColumn` base class."""
      config = dict(zip(self._fields, self))
      config["dtype"] = self.dtype.name
      return config
  
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 8 for calling the SequenceNumericColumn obj's underlying member method code with example usage: obj.get_config() and returns: config