class_docstr: OrderedDict of name to Feature
docstr: Check for a particular feature by name
  
  Parameters
  ----------
  feature_name: str
      The name of a valid feature as string for example 'CUDA'
  
  Returns
  -------
  Boolean
      True if it's enabled, False if it's disabled, RuntimeError if the feature is not known
docstr_tok: ["Check","for","a","particular","feature","by","name","Parameters","--","--","--","--","--","feature_name",":","str","The","name","of","a","valid","feature","as","string","for","example","'CUDA'","Returns","--","--","--","-","Boolean","True","if","it","'s","enabled",",","False","if","it","'s","disabled",",","RuntimeError","if","the","feature","is","not","known"]
code: def is_enabled(self, feature_name):
      """Check for a particular feature by name
  
      Parameters
      ----------
      feature_name: str
          The name of a valid feature as string for example 'CUDA'
  
      Returns
      -------
      Boolean
          True if it's enabled, False if it's disabled, RuntimeError if the feature is not known
      """
      feature_name = feature_name.upper()
      if feature_name not in self:
          raise RuntimeError(
              "Feature '{}' is unknown, known features are: {}".format(
                  feature_name, list(self.keys())
              )
          )
      return self[feature_name].enabled
  
file_path: mxnet/python/mxnet/runtime.py
imports: import ctypes
  import collections
  from .base import _LIB, check_call
label_desc: Use image node_id 3 for calling the Features obj's underlying member method code with example usage: obj.is_enabled(feature_name) and returns: self