Hi Sujit, and All,
Currently I lost in large difficulty, I am eager to get some help from you.
There is some big linear system of equations as:Ax = b, A with N number of row
and N number of column, N is very large, b = [0, 0, ..., 0, 1]TThen, I will
sovle it to get x = [x1, x2, ..., xn]T.
The
Hi Zhiliang,
For a system of equations AX = y, Linear Regression will give you a
best-fit estimate for A (coefficient vector) for a matrix of feature
variables X and corresponding target variable y for a subset of your data.
OTOH, what you are looking for here is to solve for x a system of
Hi Sujit ,
Firstly, I must show my deep appreciation and respect towards your kind help
and excellent knowledge.It would be the best if you and me are in the same
place then I shall specially go to express my thanks and respect to you.
I will try your way by spark mllib SVD .
For Linear
