i have a 1 dim numpy array
D=array( [[ 3. , 2. , 1. , 4. , 5. , 1.5, 2.2]] )
i need to get this sorted in descending order and then access the
elements .
D.sort() will make D as [[ 1. 1.5 2. 2.2 3. 4. 5. ]]
how will i reverse it?
or is there a simpler way?
harry
ould i calculate the weight space
from this ?should i do
W=dot(U[:m,:],(L-Psi).transpose() )
do i have to transpose this result again?
thanks
harryos
___
Numpy-discussion mailing list
Numpy-discussion@scipy.org
http://projects.scipy.org/mailman/listinfo/numpy-discussion
to apply the above formula how can i find the matrix where
wk is an element.? I know i have to use dot() but the rest i am
finding a bit confusing
can someone please help?
harryos
___
Numpy-discussion mailing list
Numpy-discussion@scipy.org
http
> -
> from scipy import linalg
> facearray-=facearray.mean(0) #mean centering
> u, s, vt = linalg.svd(facearray, 0)
> scores = u*s
> facespace = vt.T
> # reconstruction: facearray ~= dot(scores, facespace.T)
> explained_variance = 100*s.cumsum()/s.sum()
hi
i am a newbie in this area o