parameters: (self, *args)
return_statement: return _cmaxent.MaxentModel_train(self, *args)
docstring: r"""
          train(self, iter=15, method="lbfgs", sigma2=0.0, tol=1E-05)
  
                                                               Train a ME model using selected training method.
  
                                                               Parameters:
                                                               iter  Specify how many iterations are need for iterative methods. Default
                                                               is 15 iterations.
                                                               method  The training method to use. Can be 'lbfgs' or 'gis'. L-BFGS is used
                                                               as the default training method.
                                                               sigma2  Global variance (sigma^2) in Gaussian prior smoothing. Default is 0,  which
                                                               turns off Gaussian smoothing.
                                                               tol  Tolerance for detecting model convergence. Read manual for details.
docstring_summary: r"""
          train(self, iter=15, method="lbfgs", sigma2=0.0, tol=1E-05)
docstring_tokens: r train ( self iter = 15 method = lbfgs sigma2 = 0 . 0 tol = 1E - 05 )
function: def train(self, *args):
          r"""
          train(self, iter=15, method="lbfgs", sigma2=0.0, tol=1E-05)
  
                                                               Train a ME model using selected training method.
  
                                                               Parameters:
                                                               iter  Specify how many iterations are need for iterative methods. Default
                                                               is 15 iterations.
                                                               method  The training method to use. Can be 'lbfgs' or 'gis'. L-BFGS is used
                                                               as the default training method.
                                                               sigma2  Global variance (sigma^2) in Gaussian prior smoothing. Default is 0,  which
                                                               turns off Gaussian smoothing.
                                                               tol  Tolerance for detecting model convergence. Read manual for details.
  
          """
          return _cmaxent.MaxentModel_train(self, *args)
function_tokens: def train ( self , * args ) : return _cmaxent . MaxentModel_train ( self , * args )