From 2efd3176e8f0e01af81b06ed3d48800464d5c21c Mon Sep 17 00:00:00 2001 From: Harry Slatyer Date: Fri, 2 Dec 2016 10:22:41 +1100 Subject: [PATCH] Fix some NN typos --- mloop/learners.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/mloop/learners.py b/mloop/learners.py index 5f92b85..714c3fa 100644 --- a/mloop/learners.py +++ b/mloop/learners.py @@ -1484,7 +1484,7 @@ class NeuralNetLearner(Learner, mp.Process): default_bad_uncertainty (Optional [float]): If a run is reported as bad and default_bad_uncertainty is provided, the uncertainty for the bad run is set to this default value. If default_bad_uncertainty is None, then the uncertainty is set to a tenth of the best to worst cost range. Default None. minimum_uncertainty (Optional [float]): The minimum uncertainty associated with provided costs. Must be above zero to avoid fitting errors. Default 1e-8. predict_global_minima_at_end (Optional [bool]): If True finds the global minima when the learner is ended. Does not if False. Default True. - predict_local_minima_at_end (Optional [bool]): If True finds the all minima when the learner is ended. Does not if False. Default False. + predict_local_minima_at_end (Optional [bool]): If True finds all minima when the learner is ended. Does not if False. Default False. Attributes: all_params (array): Array containing all parameters sent to learner. @@ -1590,13 +1590,13 @@ def __init__(self, self.cost_has_noise = True self.noise_level = 1 - self.create_nerual_net() + self.create_neural_net() #--- FAKE NN CONSTRUCTOR END ---# - self.archive_dict.update({'archive_type':'nerual_net_learner', + self.archive_dict.update({'archive_type':'neural_net_learner', 'bad_run_indexs':self.bad_run_indexs, 'generation_num':self.generation_num, 'search_precision':self.search_precision, @@ -1617,7 +1617,7 @@ def __init__(self, def create_neural_net(self): ''' - Create the nerual net. + Create the neural net. ''' #TODO: Do.