class_docstr: Benchmarks for t-SNE.
code: def make_estimator(self, params):
      (method,) = params
  
      estimator = TSNE(random_state=0, method=method)
  
      return estimator
  
file_path: scikit-learn/asv_benchmarks/benchmarks/manifold.py
imports: from sklearn.manifold import TSNE
  from .common import Benchmark, Estimator
  from .datasets import _digits_dataset
label_desc: Use image node_id 3 for calling the TSNEBenchmark obj's underlying member method code with example usage: obj.make_estimator(params) and returns: estimator