docstr: Sets whether to calculate logits via Softmax or Sigmoid. Default is Softmax
  
  Parameters
  ----------
  value : str
      Whether to calculate logits via Softmax or Sigmoid. Default is Softmax
docstr_tok: ["Sets","whether","to","calculate","logits","via","Softmax","or","Sigmoid",".","Default","is","Softmax","Parameters","--","--","--","--","--","value",":","str","Whether","to","calculate","logits","via","Softmax","or","Sigmoid",".","Default","is","Softmax"]
code: def setActivation(self, value):
      """Sets whether to calculate logits via Softmax or Sigmoid. Default is Softmax
  
      Parameters
      ----------
      value : str
          Whether to calculate logits via Softmax or Sigmoid. Default is Softmax
      """
      return self._set(activation=value)
  
imports: from pyspark.ml.param import Param, Params, TypeConverters
label_desc: Use image node_id 1 for calling the HasClassifierActivationProperties obj's underlying member method code with example usage: obj.setActivation(value) and returns: self