def Go(seed=64):
"""Function to evaluate best estimator
INPUTS:
-- seed=64: Random seed to use for simulation.
-------------------------------------------------------
RETURNS: Same as Evaluate.EvalEstimator plus estimator used.
-------------------------------------------------------
PURPOSE: Evaluate the best estimator as indicated in
BestEstimator.MakeEstimator.
The following illustrates example usage:
>>> seed = 64 # random seed for simulations
>>> import EvaluateBestEstimator
>>> results = EvaluateBestEstimator.Go(seed=seed)
>>> import logging # configure logging
>>> logging.addLevelName(logging.WARNING + 1, 'IMPORTANT') # so that test shows
>>> logging.getLogger('').setLevel(logging.WARNING + 1) # up in log output
>>> logging.log(logging.WARNING + 1, '''
... Tested best estimator (%s) with seed=%s. Results:%c%s%c''' %
... (results[-1], seed, 10, results[0], 10))
"""
estimator = BestEstimator.MakeEstimator()
results = list(Evaluator.EvalEstimator(estimator, seed=seed)) + [estimator]
return results
