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python Programming Glossary: traininghttp://stackoverflow.com/questions/10149416/numpy-modify-array-in-place used as input to a neural network where m is the number of training examples and n is the number of features . However when I inspect..
use scikit-learn to classify into multiple categories http://stackoverflow.com/questions/10526579/use-scikit-learn-to-classify-into-multiple-categories WordNGramAnalyzer. Perhaps it's a question of using more training examples or trying a different classifier Though note that the..
OpenCV 2.4.1 - computing SURF descriptors in Python http://stackoverflow.com/questions/10984313/opencv-2-4-1-computing-surf-descriptors-in-python responses np.arange len kp dtype np.float32 # kNN training knn cv2.KNearest knn.train samples responses # Now loading a..
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 to class predictions. Platt scaling requires first training the SVM as usual then optimizing parameter vectors A and B such.. uses an internal five fold cross validation meaning that training SVMs with probability True can be quite a lot more expensive..
How to detect a Christmas Tree? http://stackoverflow.com/questions/20772893/how-to-detect-a-christmas-tree on all these images. Therefore approaches that require training haar cascade classifiers or template matching are not very interesting...
An example using python bindings for SVM library, LIBSVM http://stackoverflow.com/questions/4214868/an-example-using-python-bindings-for-svm-library-libsvm should looks like and which function is responsible for training and which one for testing Thanks python machine learning svm.. 1 0 1 1 0 1 param svm_parameter kernel_type LINEAR C 10 ## training the model m svm_model prob param #testing the model m.predict..
http://stackoverflow.com/questions/4502656/how-to-sort-my-paws can use the measurements where it did work to build up a training dataset of ~2000 paw impacts from ~30 different dogs to recognize.. where it worked correctly we can build up a very large training dataset of correctly classified paws ~2400 paw impacts from.. fact it doesn't do much better than random chance on the training dataset. This is a common problem in image recognition. Due..
http://stackoverflow.com/questions/4697615/are-there-any-sites-that-do-python-programming-challenges-similar-to-projecteule requirement TopCoder SPOJ UVa Online Judge USACO training Google Code Jam Facebook Puzzles Python Challenge CodeKata Ruby..
Simple Digit Recognition OCR in OpenCV-Python http://stackoverflow.com/questions/9413216/simple-digit-recognition-ocr-in-opencv-python work atleast with least accuracy I took below image for my training data I know the amount of training data is less. But since all.. took below image for my training data I know the amount of training data is less. But since all letters are of same font and size.. size i decided to try on this . To prepare the data for training i made a small code in OpenCV. It does following things a It..
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