code: def build_ensemble(kls, **kwargs):
      """Generate ensemble of class kls."""
  
      ens = kls(**kwargs)
      ens.add([SVR() for _ in range(4)])
      ens.add_meta(SVR())
      return ens
  
file_path: mlens/benchmarks/scale_cpu.py
imports: import os
  import numpy
  from mlens.ensemble import SuperLearner, BlendEnsemble
  from mlens.utils import print_time
  from sklearn.svm import SVR
  from sklearn.base import clone
  from sklearn.datasets import make_friedman1
  from time import perf_counter
label_desc: Use image node_id 1 for calling a global function with example usage: build_ensemble(kls) and returns: ens