Example #1
0
 def _createNegativeOptimizer(self, startParams):
     optimizer = GradientOptimizer(negativeParabaloidEvaluator, startParams, negativeDerivativesCalculator)
     optimizer.maxLearningSteps = 200
     optimizer.minimize = False
     
     return optimizer
Example #2
0
 def _createPositiveOptimizer(self, startParams):
     optimizer = GradientOptimizer(positiveParabaloidEvaluator, startParams, positiveDerivativesCalculator)
     optimizer.maxLearningSteps = 200
     optimizer.minimize = True
     
     return optimizer