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python Programming Glossary: sigmoidMultiple objects somehow interfering with each other [original version] http://stackoverflow.com/questions/12262716/multiple-objects-somehow-interfering-with-each-other-original-version random.seed 0 def rand a b return b a random.random a def sigmoid x return math.tanh x def dsigmoid y return 1.0 y 2 class NN.. b a random.random a def sigmoid x return math.tanh x def dsigmoid y return 1.0 y 2 class NN def __init__ self ni nh no # number.. # input activations for i in range self.ni 1 #self.ai i sigmoid inputs i self.ai i inputs i # hidden activations for j in..
How does sklearn.svm.svc's function predict_proba() work internally? http://stackoverflow.com/questions/15111408/how-does-sklearn-svm-svcs-function-predict-proba-work-internally decision_function method . You may recognize the logistic sigmoid in this definition the same function that logistic regression..
Simple multi layer neural network implementation [closed] http://stackoverflow.com/questions/15395835/simple-multi-layer-neural-network-implementation inputs neuron.weights 1 BIAS outputs.append self.sigmoid tot inputs outputs return outputs def sigmoid self activation.. self.sigmoid tot inputs outputs return outputs def sigmoid self activation response 1 # the activation function try return..
SciPy LeastSq Goodness of Fit Estimator http://stackoverflow.com/questions/7588371/scipy-leastsq-goodness-of-fit-estimator 821 576 473 377 326 y np.array 255 235 208 166 157 def sigmoid p x x0 y0 c k p y c 1 np.exp k x x0 y0 return y def residuals.. c 1 np.exp k x x0 y0 return y def residuals p x y return y sigmoid p x Param collections.namedtuple 'Param' 'x0 y0 c k' p_guess.. print ''' x0 p.x0 y0 p.y0 c p.c k p.k '''.format p p pxp sigmoid p xp # You could compute the residuals this way resid residuals..
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