docstr: Sets whether to enable caching DataFrames or RDDs during the training
  
  Parameters
  ----------
  value : bool
      Whether to enable caching DataFrames or RDDs during the training
docstr_tok: ["Sets","whether","to","enable","caching","DataFrames","or","RDDs","during","the","training","Parameters","--","--","--","--","--","value",":","bool","Whether","to","enable","caching","DataFrames","or","RDDs","during","the","training"]
code: def setEnableCaching(self, value):
      """Sets whether to enable caching DataFrames or RDDs during the training
  
      Parameters
      ----------
      value : bool
          Whether to enable caching DataFrames or RDDs during the training
      """
      return self._set(enableCaching=value)
  
imports: from pyspark.ml.param import Param, Params, TypeConverters
label_desc: Use image node_id 1 for calling the HasEnableCachingProperties obj's underlying member method code with example usage: obj.setEnableCaching(value) and returns: self