From 2b220df19f17658153515469f0ecfb233f2829af Mon Sep 17 00:00:00 2001 From: Craig Warren Date: Thu, 14 Jul 2016 09:42:23 +0100 Subject: [PATCH] Updated some comments, and changed an array of floats to uint8, as only storing optimisation levels, i.e. 0, 1 or 2 --- gprMax/optimisation_taguchi.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/gprMax/optimisation_taguchi.py b/gprMax/optimisation_taguchi.py index 40e60c5a..bc656eec 100644 --- a/gprMax/optimisation_taguchi.py +++ b/gprMax/optimisation_taguchi.py @@ -80,7 +80,7 @@ def run_opt_sim(args, numbermodelruns, inputfile, usernamespace): # Lower, central, and upper values for each parameter levels = np.zeros((s, k), dtype=floattype) # Optimal lower, central, or upper value for each parameter - levelsopt = np.zeros(k, dtype=floattype) + levelsopt = np.zeros(k, dtype=np.uint8) # Difference used to set values for levels levelsdiff = np.zeros(k, dtype=floattype) # History of fitness values from each confirmation experiment @@ -400,7 +400,7 @@ def calculate_optimal_levels(optparams, levels, levelsopt, fitnessvalues, OA, N, # Calculate optimal level from table of responses optlevel = np.where(responses == np.amax(responses))[0] - # If 2 experiments produce the same fitness value (this shouldn't happen if the fitness function is designed correctly) pick first level + # If 2 experiments produce the same fitness value pick first level (this shouldn't happen if the fitness function is designed correctly) if len(optlevel) > 1: optlevel = optlevel[0]