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