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python Programming Glossary: biashttp://stackoverflow.com/questions/10825926/python-3-x-rounding-behavior simple always round 0.5 up technique results in a slight bias toward the higher number. With large numbers of calculations..
can pandas handle variable-length whitespace as column delimeters http://stackoverflow.com/questions/12021730/can-pandas-handle-variable-length-whitespace-as-column-delimeters accession tlen query name accession qlen E value score bias # of c Evalue i Evalue score bias from to from to from to acc.. qlen E value score bias # of c Evalue i Evalue score bias from to from to from to acc description of target # ..
Multiple objects somehow interfering with each other [original version] http://stackoverflow.com/questions/12262716/multiple-objects-somehow-interfering-with-each-other-original-version of input hidden and output nodes self.ni ni 1 # 1 for bias node self.nh nh 1 self.no no # activations for nodes self.ai..
Event Sequences, Recurrent Neural Networks, PyBrain http://stackoverflow.com/questions/12689293/event-sequences-recurrent-neural-networks-pybrain it should go down on each step. Also have you tried adding bias buildNetwork INPUTS HIDDEN OUTPUTS hiddenclass LSTMLayer outclass.. hiddenclass LSTMLayer outclass SigmoidLayer recurrent True bias True Where do you get the error from Is it the one reported.. it is an error on training set and you suffer from high bias. Things that could help Running more iterations. Adding more..
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 estimates. Mind you the B parameter the intercept or bias or whatever you like to call it can cause predictions based..
Simple multi layer neural network implementation [closed] http://stackoverflow.com/questions/15395835/simple-multi-layer-neural-network-implementation random.uniform 0 1 for x in range 0 n_inputs 1 # 1 for bias weight def sum self inputs # Does not include the bias return.. bias weight def sum self inputs # Does not include the bias return sum val self.weights i for i val in enumerate inputs.. layer.neurons self._n_weights neuron.n_inputs 1 # 1 for bias weight return self._n_weights def set_weights self weights ..
Python: Random is barely random at all? http://stackoverflow.com/questions/2145510/python-random-is-barely-random-at-all the Birthday Paradox a good example example of a cognitive bias where a naive intuitive estimate is likely to be wildly wrong... a specific individual which is the source of the cognitive bias that often causes people to underestimate the probability. This..
pybrain: how to print a network (nodes and weights) http://stackoverflow.com/questions/8150772/pybrain-how-to-print-a-network-nodes-and-weights the params attribute for example my network is 2 4 1 with bias and it says n.params array 0.8167133 1.00077451 0.7591257 1.1150532..
Reclassing an instance in Python http://stackoverflow.com/questions/990758/reclassing-an-instance-in-python okay the pythonicity question remains unanswered with a bias towards yes. I have accepted Martin Geisler's answer because..
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