code: def empirical(X):
      """Compute empirical covariance as baseline estimator."""
      print("Empirical")
      cov = np.dot(X.T, X) / n_samples
      return cov, np.linalg.inv(cov)
  
file_path: skggm/examples/estimator_suite_spark.py
imports: import sys
  import numpy
  import tabulate
  import time
  import matplotlib.pyplot
  from sklearn.covariance import ledoit_wolf
  from inverse_covariance import QuicGraphicalLasso, QuicGraphicalLassoCV, QuicGraphicalLassoEBIC, AdaptiveGraphicalLasso, ModelAverage
  from inverse_covariance.profiling import LatticeGraph
label_desc: Use image node_id 8 for calling a global function with example usage: empirical(X) and returns: cov,  np