2017年10月7日 上午5:29,Iman Mohtashemi 写道:Hi guys,Here is another problem I encountered using the tallskinny QR. I've attached some clear documentation of the problem. I posted it on the forum but I'm not sure if it went throughBest regards,ImanOn Fri, Dec 30, 2016 at 9:22 AM Sean Owen
There are no changes to Spark at all here. See my workaround below.
On Fri, Dec 30, 2016, 17:18 Iman Mohtashemi
wrote:
> Hi guys,
> Are your changes/bug fixes reflected in the Spark 2.1 release?
> Iman
>
> On Dec 2, 2016 3:03 PM, "Iman Mohtashemi"
> wrote:
>
> Thanks again! This is very helpful
Hi guys,
Are your changes/bug fixes reflected in the Spark 2.1 release?
Iman
On Dec 2, 2016 3:03 PM, "Iman Mohtashemi" wrote:
> Thanks again! This is very helpful!
> Best regards,
> Iman
>
> On Dec 2, 2016 2:49 PM, "Huamin Li" <3eri...@gmail.com> wrote:
>
>> Hi Iman,
>>
>> You can get my code fr
Thanks again! This is very helpful!
Best regards,
Iman
On Dec 2, 2016 2:49 PM, "Huamin Li" <3eri...@gmail.com> wrote:
> Hi Iman,
>
> You can get my code from https://github.com/hl475/svd/tree/testSVD. In
> additional to fix the index issue for IndexedRowMatrix (
> https://issues.apache.org/jira/b
Hi Iman,
You can get my code from https://github.com/hl475/svd/tree/testSVD. In
additional to fix the index issue for IndexedRowMatrix (
https://issues.apache.org/jira/browse/SPARK-8614), I have made some the
following changes as well:
(1) Add tallSkinnySVD and computeSVDbyGram to indexedRowMatri
Great thanks! Where can I get the latest with the bug fixes?
best regards,
Iman
On Fri, Dec 2, 2016 at 10:54 AM Huamin Li <3eri...@gmail.com> wrote:
> Hi,
>
> There seems to be a bug in the section of code that converts the RowMatrix
> format back into indexedRowMatrix format.
>
> For RowMatrix,
Hi,
There seems to be a bug in the section of code that converts the RowMatrix
format back into indexedRowMatrix format.
For RowMatrix, I think the singular values and right singular vectors (not
the left singular vectors U) that computeSVD computes are correct when
using multiple executors/machi
I have a different question that might be trivial for you (although not to
me :)) Maybe you can answer this?
Here is a MapReduce Example implemented in Java.
It reads each line of text and for each word in the line of text determines
if it starts
with an upper case. If so, it creates a key value p
Ok thanks.
On Fri, Dec 2, 2016 at 8:19 AM Sean Owen wrote:
> I tried, but enforcing the ordering changed a fair bit of behavior and I
> gave up. I think the way to think of it is: a RowMatrix has whatever
> ordering you made it with, so you need to give it ordered rows if you're
> going to use a
I tried, but enforcing the ordering changed a fair bit of behavior and I
gave up. I think the way to think of it is: a RowMatrix has whatever
ordering you made it with, so you need to give it ordered rows if you're
going to use a method like the QR decomposition. That works. I don't think
the QR me
Hi guys,
Was this bug ever resolved?
Iman
On Fri, Nov 11, 2016 at 9:59 AM Iman Mohtashemi
wrote:
> Yes this would be helpful, otherwise the Q part of the decomposition is
> useless. One can use that to solve the system by transposing it and
> multiplying with b and solving for x (Ax = b) where
Yes this would be helpful, otherwise the Q part of the decomposition is
useless. One can use that to solve the system by transposing it and
multiplying with b and solving for x (Ax = b) where A = R and b = Qt*b
since the Upper triangular matrix is correctly available (R)
On Fri, Nov 11, 2016 at 3
@Xiangrui / @Joseph, do you think it would be reasonable to have
CoordinateMatrix sort the rows it creates to make an IndexedRowMatrix? in
order to make the ultimate output of toRowMatrix less surprising when it's
not ordered?
On Tue, Nov 8, 2016 at 3:29 PM Sean Owen wrote:
> I think the problem
Thanks Sean! Let me take a look!
Iman
On Nov 8, 2016 7:29 AM, "Sean Owen" wrote:
> I think the problem here is that IndexedRowMatrix.toRowMatrix does *not*
> result in a RowMatrix with rows in order of their indices, necessarily:
>
> // Drop its row indices.
> RowMatrix rowMat = indexedRowMatrix
I think the problem here is that IndexedRowMatrix.toRowMatrix does *not*
result in a RowMatrix with rows in order of their indices, necessarily:
// Drop its row indices.
RowMatrix rowMat = indexedRowMatrix.toRowMatrix();
What you get is a matrix where the rows are arranged in whatever order they
So
b =
0.89
0.42
0.0
0.88
0.97
The solution at the bottom is the solution to Ax = b solved using Gaussian
elimination. I guess another question is, is there another way to solve
this problem? I'm trying to solve the least squares fit with a huge A (5MM
x 1MM)
x = inverse(A-transpose*A)*A-transose
Hi Sean,
Here you go:
sparsematrix.txt =
row, col ,val
0,0,.42
0,1,.28
0,2,.89
1,0,.83
1,1,.34
1,2,.42
2,0,.23
3,0,.42
3,1,.98
3,2,.88
4,0,.23
4,1,.36
4,2,.97
The vector is just the third column of the matrix which should give the
trivial solution of [0,0,1]
This translates to this which is cor
Rather than post a large section of code, please post a small example of
the input matrix and its decomposition, to illustrate what you're saying is
out of order.
On Tue, Nov 8, 2016 at 3:50 AM im281 wrote:
> I am getting the correct rows but they are out of order. Is this a bug or
> am
> I doin
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