mod to cwd path; split log into 2 files
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@ -1,3 +1,13 @@
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2017 02/13
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Returned 'cwd = os.getcwd()' to 'cwd = os.path.dirname(full_path)' in fx_karoo_data_load in order to sustain chron
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compliance (sorry Marco). Then split end-of-run logging into 2 files: runtime_config.txt and test.txt. Looking to the
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future in which the test log, in particular, might be stored in such a way as to be readily parsed by an external
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script for automated comparison of multiple runs.
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Ideas are welcomed!
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2017 02/09
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The User Guide has been updated to match the functions of Karoo GP v1.0.1.
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@ -2,7 +2,7 @@
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# Define the methods and global variables used by Karoo GP
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# by Kai Staats, MSc; see LICENSE.md
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# Thanks to Emmanuel Dufourq and Arun Kumar for support during 2014-15 devel; TensorFlow support provided by Iurii Milovanov
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# version 1.0.1
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# version 1.0.2
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'''
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A NOTE TO THE NEWBIE, EXPERT, AND BRAVE
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@ -224,8 +224,8 @@ class Base_GP(object):
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### 1) load the associated data set, operators, operands, fitness type, and coefficients ###
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#full_path = os.path.realpath(__file__); cwd = os.path.dirname(full_path)
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cwd = os.getcwd() # Good idea Marco :)
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full_path = os.path.realpath(__file__); cwd = os.path.dirname(full_path) # Good idea Marco :)
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# cwd = os.getcwd()
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data_dict = {'c':cwd + '/files/data_CLASSIFY.csv', 'r':cwd + '/files/data_REGRESS.csv', 'm':cwd + '/files/data_MATCH.csv', 'p':cwd + '/files/data_PLAY.csv'}
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@ -2596,7 +2596,7 @@ class Base_GP(object):
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target.writerows([population[tree][row]])
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def fx_archive_params_write(self, app): # tested 2017 02/08
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def fx_archive_params_write(self, app): # tested 2017 02/13
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'''
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Save run-time configuration parameters to disk.
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@ -2604,7 +2604,7 @@ class Base_GP(object):
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Arguments required: none
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'''
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file = open(self.path + '/parameters.txt', 'w')
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file = open(self.path + '/log_config.txt', 'w')
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file.write('Karoo GP ' + app)
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file.write('\n launched: ' + str(self.datetime))
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@ -2625,12 +2625,22 @@ class Base_GP(object):
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file.write('\n')
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file.write('\n tournament size: ' + str(self.tourn_size))
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file.write('\n population: ' + str(self.tree_pop_max))
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file.write('\n number of generations: ' + str(self.generation_id))
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file.write('\n number of generations: ' + str(self.generation_id))
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file.write('\n\n')
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file.close()
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file = open(self.path + '/log_test.txt', 'w')
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file.write('Karoo GP ' + app)
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file.write('\n launched: ' + str(self.datetime))
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file.write('\n dataset: ' + str(self.dataset))
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file.write('\n')
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# parse the 'l'ist for the highest numbered Tree
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if len(self.fittest_dict) > 0:
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file.write('\n\n The leading Trees and their associated expressions are:')
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file.write('\n The leading Trees and their associated expressions are:')
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for item in sorted(self.fittest_dict):
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file.write('\n\t ' + str(item) + ' : ' + str(self.fittest_dict[item]))
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