numpy - Fastest non negative matrix factorization (NMF) solver in python? -

-

i'm using sklearn's projectedgradientnmf , nimfa's lsnmf solvers factor sparse matrix. projectegradientnmf runs slower converges closer solution while lsnmf runs twice fast converges further solution (frobenius norm distance measure).

i'm curious current fastest or closest solvers available python community or there better option sparse matrix (the matrix sparse, not scipy.sparse)?

there benchmark here: https://github.com/scikit-learn/scikit-learn/pull/4852 pull request including coordinate descent solver mblondel https://gist.github.com/mblondel/09648344984565f9477a

what mean sparse not scipy.sparse? library from?


Comments

Post a Comment

Popular posts from this blog

php - Zend Framework / Skeleton-Application / Composer install issue -

-
i trying create zend framework application using skeleton in netbeans. when run composer install, following error message: "c:\php\php.exe" "c:\composer\composer.phar" "--ansi" "--no-interaction" "update" "--dev" using deprecated option "dev". dev packages installed default now. loading composer repositories package information updating dependencies (including require-dev) requirements not resolved installable set of packages. problem 1 - package requires php >=5.5 php version (5.4.42) not satisfy requirement. problem 2 - installation request zendframework/zendframework 2.5.1 -> satisfiable zendframework/zendframework[2.5.1]. - zendframework/zendframework 2.5.1 requires php >=5.5 -> php version (5.4.42) not satisfy requirement. done. apparently, zend framework only needs php 5.3+ contradicts above. need use php 5.4. my composer.json following: { "name": "
Read more

c# - Better 64-bit byte array hash -

-
i need hash algorithm produces 64-bit hash code ( long ) fewer collisions string.gethashcode() , fast (no expensive calls cryptographic functions). here's implementation of fnv still shows 3% of collisions after testing 2 million random strings. need number way lower. void main() { const string chars = "abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz!#@$%^&*()_+}{\":?><,./;'[]0123456789\\"; const int n = 2000000; var random = new random(); var hashes = new hashset<long>(); int collisions = 0; for(int = 0; < n; i++) { var len = random.next(chars.length); var str = new char[len]; (int j = 0; j < len; j++) { str[j] = chars[random.next(chars.length)]; } var s = new string(str); if(!hashes.add(get64bithash( s ))) collisions++; } console.writeline("collision percentage after " + n + " random strings: " + ((doubl
Read more

python - PyCharm Type error Message -

-
i'm newbie trying out ml/dbn in python (3.4) under pycharm (comm.ed 4.5). following definition def make_thetas(xmin,xmax,n): xs = np.linespace(xmin,xmax,n) widths = (xs[1:] - xs[:-1])/2.0 thetas = xs[:-1] + widths return thetas throws error "class 'tuple' not define ' sub ', '-' operator cannot used on instance" on - operator on third line (widths = ....) ideas on how code running under pycharm - works alright in interactive python window. thx. to all, after g'g lot have found workaround seems work within pycharm. workaround because (even python newbie) expected python not need explicit typecasting, not when using datatypes imported lib such numpy. def make_thetas(xmin,xmax,n): xs = np.array(np.linspace(xmin,xmax,n)) widths = (xs[1:] - xs[:-1])/2.0 thetas = xs[:-1]+ widths return thetas using docstrings type-hinting such below did not work def make_thetas(xmin,xmax,n): "&q
Read more