def onSubmit(self, e):
'''
Take user selection and pass it to the GA for
fitness evaluation.
'''
feedback = None
# get user input
inject_genomes = self.cogaPanel.getPeerGenomes()
if inject_genomes['best']:
print 'inject_genomes ', inject_genomes
feedback = None
self.cogaPanel.clearFeedback()
panels_to_display = gaParams.step(feedback, self.displayPanel, inject_genomes)
self.display(panels_to_display)
self.generation += gaParams.getVar('stepSize')
self.genLabel.SetLabel('Generation %d' % self.generation)
elif not inject_genomes['best']:
feedback = self.displayPanel.getUserInput()
if feedback:
print 'inject_genomes ', inject_genomes
self.cogaPanel.clearFeedback()
panels_to_display = gaParams.step(feedback, self.displayPanel, inject_genomes)
self.display(panels_to_display)
self.generation += gaParams.getVar('stepSize')
self.genLabel.SetLabel('Generation %d' % self.generation)
def onSubmit(self, e):
'''
Take user selection and pass it to the GA for
fitness evaluation.
'''
# get user input
feedback = self.displayPanel.getUserInput()
if feedback:
# check collaborative panels to see if any genomes need to be added
# to gene pool
inject_genomes = []
for cpanel in self.coga_panel:
inject_genomes.extend(cpanel.getPeerGenomes())
print 'inject_genomes ', inject_genomes
panels_to_display = gaParams.step(feedback, self.displayPanel, inject_genomes)
self.display(panels_to_display)
self.generation += gaParams.getVar('stepSize')
self.genLabel.SetLabel('Generation %d' % self.generation)
