class_docstr: Base class for Ner*Approach Annotators
      
docstr: Sets minimum number of epochs to train.
  
  Parameters
  ----------
  epochs : int
      Minimum number of epochs to train
docstr_tok: ["Sets","minimum","number","of","epochs","to","train",".","Parameters","--","--","--","--","--","epochs",":","int","Minimum","number","of","epochs","to","train"]
code: def setMinEpochs(self, epochs):
      """Sets minimum number of epochs to train.
  
      Parameters
      ----------
      epochs : int
          Minimum number of epochs to train
      """
      return self._set(minEpochs=epochs)
  
file_path: spark-nlp/python/sparknlp/annotator/ner/ner_approach.py
imports: from sparknlp.common import *
label_desc: Use image node_id 3 for calling the NerApproach obj's underlying member method code with example usage: obj.setMinEpochs(epochs) and returns: self