bigdatamath

Results 9 issues of bigdatamath

I have written a cpu version of such calculate problem, but cpu version is still slow. ``` from numba import jit import numpy as np @jit(nopython=True) def resid_lstsq(x,y): ret =...

I want to find the most efficient way to calculate the moving average. Three approach presented: ``` def sma1(x,d): n = np.ones(d) weights = n/d ret = np.convolve(weights,x)[d-1:-d+1] return ret...

bug
performance - run time

I have written a cpu version of massive regression ``` from numba import jit import numpy as np @jit(nopython=True) def resid_lstsq(x,y): ret = np.linalg.lstsq(x,y) coef = ret[0] yHat = np.dot(x,coef)...

``` import bottleneck as bn import numpy as np m1 = np.random.randn(300,3000) m1_32 = m1.astype(np.float32) %timeit np.nansum(m1,axis=1) %timeit bn.nansum(m1,axis=1) %timeit np.nansum(m1_32,axis=1) %timeit bn.nansum(m1_32,axis=1) ``` when use float64 then bottleneck is...

bug
perf

The basic anaconda install python3.6.5 for the system , And I use the jupyterLab 0.32.1 to get remote python kernel under ubuntu system. But when I use the code :...

when I bash start.bash in linux then I get the erros : DCR: Failed to get nonce1 at handshaking GPU 0 failed Setting DAG epoch #280 for GPU0 GPU 0,...

SOM clustering is a good customer segment method, and your somoclu make the method strong enough to deal with big data. Thank you so much. But when I have done...

when I use somoclu on ubuntu, there is no problem and perform perfectly with 100% cpu usage, but when I do the same experiment on Macbookpro with spyder IDE, it...

Thank you for your great work which offers new approach for symbolic regression. By your example in the slice, FFX can output the function of linear or nonlinear expression. But...