docstr: Sets the proportion of training dataset to be validated against the
  model on each Epoch, by default it is 0.0 and off. The value should be
  between 0.0 and 1.0.
  
  Parameters
  ----------
  v : float
      Proportion of training dataset to be validated
code: def setValidationSplit(self, v):
      """Sets the proportion of training dataset to be validated against the
      model on each Epoch, by default it is 0.0 and off. The value should be
      between 0.0 and 1.0.
  
      Parameters
      ----------
      v : float
          Proportion of training dataset to be validated
      """
      self._set(validationSplit=v)
      return self
  
file_path: spark-nlp/python/sparknlp/annotator/param/evaluation_dl_params.py
imports: from sparknlp.common import *
  from sparknlp.internal import ParamsGettersSetters
label_desc: Use image node_id 2 for calling the EvaluationDLParams obj's underlying member method code with example usage: obj.setValidationSplit(v) and returns: self