class_docstr: Compute metric pairwise.
  
  Parameters
  ----------
  func : function
      Function that computes the pairwise metric.
  
  name : str
      Name of the metric
docstr: Compute standard error of jacknife samples.
  
  References
  ----------
  .. [1] Efron and Stein, (1981), "The jackknife estimate of variance.
code: def _compute_jackknife_stderr(x):
      """Compute standard error of jacknife samples.
  
      References
      ----------
      .. [1] Efron and Stein, (1981), "The jackknife estimate of variance.
      """
      n_instances = x.shape[0]
      # np.sqrt((((n - 1) / n) * np.sum((x - x.mean()) ** 2)))
      return np.sqrt(n_instances - 1) * np.std(x)
  
file_path: sktime/sktime/benchmarking/metrics.py
imports: import numpy
  from sktime.benchmarking.base import BaseMetric
label_desc: Use image node_id 3 for calling the AggregateMetric obj's underlying member method code with example usage: obj._compute_jackknife_stderr(x) and returns: unknown