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python Programming Glossary: predictionMultiple objects somehow interfering with each other [original version] http://stackoverflow.com/questions/12262716/multiple-objects-somehow-interfering-with-each-other-original-version then the new instance will produce completely incorrect predictions. For example training on an XOR pattern test 0 0 0 1 1 0 1.. for 500 iterations with learning rate 0.5 and momentum 0 prediction np.zeros len test for row in range len test prediction row n.runNetwork.. 0 prediction np.zeros len test for row in range len test prediction row n.runNetwork test row 0 print prediction # # Now do the..
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 the SVM to produce probabilities in addition to class predictions. Platt scaling requires first training the SVM as usual then.. or bias or whatever you like to call it can cause predictions based on probability estimates from this model to be inconsistent.. decision function f . E.g. suppose that f X 10 then the prediction for X is positive but if B 9.9 and A 1 then P y X .475 . I'm..
Image segmentation based on edge pixel map http://stackoverflow.com/questions/18972932/image-segmentation-based-on-edge-pixel-map automated technique that can segment it accurately. After prediction I obtain the following image I am relatively new to image processing..
plot decision boundary matplotlib http://stackoverflow.com/questions/19054923/plot-decision-boundary-matplotlib h np.arange y_min y_max h # here model is your model's prediction classification function Z model np.c_ xx.ravel yy.ravel # Put..
http://stackoverflow.com/questions/2129253/clojure-jython-interop would initially be far from seamless... In fact my prediction would be that smoothing out the bumps could really be a royal..
Machine Learning Algorithm for Predicting Order of Events? http://stackoverflow.com/questions/2524608/machine-learning-algorithm-for-predicting-order-of-events be infinte though for practicality. So I believe that the predictions will have to be done with some kind of rolling history. Adding.. improve this question This is essentially a sequence prediction problem so you want Recurrent neural networks or hidden Markov.. after every epochs. Afterwards you can check for correct predictions like this net.reset for i in sequence next net.activate i 0.5..
Global Variable from a different file Python http://stackoverflow.com/questions/3400525/global-variable-from-a-different-file-python why you think you need a cyclical dependency just one easy prediction no matter what makes you think you need a cyclical dependency..
FSharp runs my algorithm slower than Python! http://stackoverflow.com/questions/5850243/fsharp-runs-my-algorithm-slower-than-python unpredictable location and consequently undermines branch prediction logic and will almost certainly cause the entire CPU pipeline..
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