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python Programming Glossary: denseImage transformation in OpenCV http://stackoverflow.com/questions/10364201/image-transformation-in-opencv and here we use it to convert sparse mappings to dense mappings as cv2.remap requires dense mappings. We just need.. sparse mappings to dense mappings as cv2.remap requires dense mappings. We just need to convert to the values to float32 as..
Python: tf-idf-cosine: to find document similarity http://stackoverflow.com/questions/12118720/python-tf-idf-cosine-to-find-document-similarity transformer.transform testVectorizerArray print tfidf.todense as a result of above code I have following matrix Fit Vectorizer.. scipy sparse matrix API is a bit weird not as flexible as dense N dimensional numpy arrays . To get the first vector you need.. kernels in machine learning parlance that work for both dense and sparse representations of vector collections. In this case..
Multiplying elements in a sparse array with rows in matrix http://stackoverflow.com/questions/12237954/multiplying-elements-in-a-sparse-array-with-rows-in-matrix X X csr_matrix 0 2 0 2 0 2 0 1 print type X print X.todense class 'scipy.sparse.csr.csr_matrix' 0 2 0 2 0 2 0 1 And a matrix.. CSR matrix seems to densify the matrix if the other one is dense. So this would be one way avoiding that # Assuming that Y is..
Does performance differs between Python or C++ coding of OpenCV? http://stackoverflow.com/questions/13432800/does-performance-differs-between-python-or-c-coding-of-opencv implementation is shorter but running time will be more dense and slow compared to the native C implementations. Is there..
How to set up and solve simultaneous equations in python http://stackoverflow.com/questions/14367331/how-to-set-up-and-solve-simultaneous-equations-in-python can solve them Update The answers are great but they use dense solvers where the system of equations is sparse. Posted follow..
“”.join(reversed(val)) vs val[::-1]…which is pythonic? http://stackoverflow.com/questions/1695385/joinreversedval-vs-val-1-which-is-pythonic Explicit is better than implicit ... Sparse is better than dense ... Readability counts ...but then again Flat is better than..
what is the true difference between lemmatization vs stemming? http://stackoverflow.com/questions/1787110/what-is-the-true-difference-between-lemmatization-vs-stemming lemmatization share improve this question Short and dense http nlp.stanford.edu IR book html htmledition stemming and..
How can I quantify difference between two images? http://stackoverflow.com/questions/189943/how-can-i-quantify-difference-between-two-images or more frames and assign velocity vector to every pixel dense optical flow or to some of them sparse optical flow . To estimate..
http://stackoverflow.com/questions/228181/the-zen-of-python Flat is better than nested. Sparse is better than dense. Readability counts. Special cases aren't special enough to..
http://stackoverflow.com/questions/2540059/scipy-sparse-arrays of 3 62.9 us per loop Note this last approach does a numpy dense multiplication again. The sparsity is 50 so it's actually faster..
What does “pythonic” mean? [duplicate] http://stackoverflow.com/questions/454002/what-does-pythonic-mean Flat is better than nested. Sparse is better than dense. Readability counts. Special cases aren't special enough to..
Is it possible to specify your own distance function using Scikits.Learn K-Means Clustering? http://stackoverflow.com/questions/5529625/is-it-possible-to-specify-your-own-distance-function-using-scikits-learn-k-means denis # X sparse any cdist metric real app # centres get dense rapidly metrics in high dim hit distance whiteout # vs unsupervised.. if not issparse X X np.asanyarray X # centres centres.todense if issparse centres else centres.copy N dim X.shape k cdim centres.shape.. array any cdist metric X or Y may be sparse best csr # todense row at a time v slow if both v sparse sxy 2 issparse X issparse..
What are the important language features (idioms) of Python to learn early on http://stackoverflow.com/questions/567251/what-are-the-important-language-features-idioms-of-python-to-learn-early-on Flat is better than nested. Sparse is better than dense. Readability counts. Special cases aren't special enough to..
Is there a good and easy way to visualize high dimensional data? http://stackoverflow.com/questions/5779011/is-there-a-good-and-easy-way-to-visualize-high-dimensional-data 21 dimensions but I would like to see how whether it is dense or sparse. Are there techniques to achieve this python language..
FSharp runs my algorithm slower than Python! http://stackoverflow.com/questions/5850243/fsharp-runs-my-algorithm-slower-than-python turned out to be your use of a hash table to implement a dense 2D matrix. Using a hash table is ideal in Python because its.. native code but arrays are a much better way to represent dense matrices particularly when you want a default value of zero...
Lay out import pathing in Python, straight and simple? http://stackoverflow.com/questions/860672/lay-out-import-pathing-in-python-straight-and-simple with code for a few weeks now love it but I'm just dense on import beyond trivial cases. If too general send me back..
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