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 from_config(
      cls, config, custom_objects=None, columns_by_name=None
  ):
      """See 'FeatureColumn` base class."""
      fc._check_config_keys(config, cls._fields)
      kwargs = fc._standardize_and_copy_config(config)
      kwargs["dtype"] = dtypes.as_dtype(config["dtype"])
      return cls(**kwargs)
  
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 9 for calling the SequenceNumericColumn obj's underlying member method code with example usage: obj.from_config(cls, config, custom_objects, columns_by_name) and returns: cls