class_docstr: Class for estimating regularized inverse covariance with
  nodewise regression
  
  Parameters
  ----------
  exog : array_like
      A weighted design matrix for covariance
  
  Attributes
  ----------
  exog : array_like
      A weighted design matrix for covariance
  alpha : scalar
      Regularizing constant
code: def __init__(self, exog):
      self.exog = exog
  
file_path: statsmodels/statsmodels/stats/regularized_covariance.py
imports: from statsmodels.regression.linear_model import OLS
  import numpy
label_desc: Use image node_id 1 to create a new RegularizedInvCovariance object  with example: obj = RegularizedInvCovariance(exog)