class_docstr: Dummy clustering estimator.
      
docstr: Vacuous
docstr_tok: ["Vacuous"]
code: def fit(X):
      """Vacuous"""
      pass
  
imports: import os
  import subprocess
  import numpy
  from mlens import config
  from mlens.utils import IdTrain
  from mlens.index import FoldIndex, BlendIndex, SubsetIndex, TemporalIndex, ClusteredSubsetIndex, FullIndex
  from mlens.index.base import partition, prune_train
label_desc: Use image node_id 2 for calling the ClusterEstimator obj's underlying member method code with example usage: obj.fit(X) without return types