parameters: (self, domain, optimizable, optimization_parameters, num_random_samples=None)
docstring: Construct a LBFGSBOptimizer.
  
          :param domain: the domain that this optimizer operates over
          :type domain: :class:`~moe.optimal_learning.python.interfaces.domain_interface.DomainInterface` subclass. Only supports TensorProductDomain.
          :param optimizable: object representing the objective function being optimized
          :type optimizable: :class:`~moe.optimal_learning.python.interfaces.optimization_interface.OptimizableInterface` subclass
          :param optimization_parameters: parameters describing how to perform optimization (tolerances, iterations, etc.)
          :type optimization_parameters: :class:`~moe.optimal_learning.python.python_version.optimization.LBFGSBParameters` object
docstring_summary: Construct a LBFGSBOptimizer.
docstring_tokens: Construct a LBFGSBOptimizer .
function: def __init__(self, domain, optimizable, optimization_parameters, num_random_samples=None):
          """Construct a LBFGSBOptimizer.
  
          :param domain: the domain that this optimizer operates over
          :type domain: :class:`~moe.optimal_learning.python.interfaces.domain_interface.DomainInterface` subclass. Only supports TensorProductDomain.
          :param optimizable: object representing the objective function being optimized
          :type optimizable: :class:`~moe.optimal_learning.python.interfaces.optimization_interface.OptimizableInterface` subclass
          :param optimization_parameters: parameters describing how to perform optimization (tolerances, iterations, etc.)
          :type optimization_parameters: :class:`~moe.optimal_learning.python.python_version.optimization.LBFGSBParameters` object
  
          """
          super(LBFGSBOptimizer, self).__init__(domain, optimizable, optimization_parameters)
function_tokens: def __init__ ( self , domain , optimizable , optimization_parameters , num_random_samples = None ) : super ( LBFGSBOptimizer , self ) . __init__ ( domain , optimizable , optimization_parameters )