Hi David,
Thanks for your response.
But I can't install anything on cluster.
*Could anyone please help me understand how the file 'multiarray.so' is
used by the tagger. I mean how it is loaded( I assume its some sort of DLL
for windows and shared library for unix based systems). Is it a module or
Colin,
I currently use Py3.4 and Numpy 1.9.1. However, I built a quick test conda
environment with Python2.7 and Numpy 1.7.0, and I get the same:
Python 2.7.9 |Continuum Analytics, Inc.| (default, Dec 18 2014, 16:57:52)
[MSC v
.1500 64 bit (AMD64)]
Type "copyright", "credits" or "lic
11.02.2015, 21:57, Alan G Isaac kirjoitti:
[clip]
> I think gains could be in lazy evaluation structures (e.g.,
> a KroneckerProduct object that never actually produces the product
> unless forced to.)
This sounds like an abstract linear operator interface. Several attempts
have been made to this
On 2/11/2015 2:25 PM, cjw wrote:
> I think of the matrix as a numeric object. What would the case be for having
> a Boolean matrix?
It's one of my primary uses:
https://en.wikipedia.org/wiki/Adjacency_matrix
Numpy alread provides SVD:
http://docs.scipy.org/doc/numpy/reference/generated/numpy.l
On 11-Feb-15 12:13 PM, Alan G Isaac
wrote:
Just recalling the one-year-ago discussion:
http://comments.gmane.org/gmane.comp.python.numeric.general/56494
Alan Isaac
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Thanks Sebastian,
This would appear to make a case for considering not having Matrix
as a sub-class of an np array.
On the other hand, so much work has gone into np, and there is some
commonality between the needs of Matrix and Array.
Colin W.
On 11 February 2015 at 18:22, Stephan Hoyer wrote:
> In my opinion, a "fixed" version of np.matrix should (1) not be a
> np.ndarray subclass and (2) exist in a third party library not numpy itself.
>
+1 for both of those ... but especially the first.
_
On Wed, Feb 11, 2015 at 9:19 AM, Sebastian Berg
wrote:
> On Mi, 2015-02-11 at 11:38 -0500, cjw wrote:
> No, I just mean the fact that a matrix is always 2D. This makes some
> things like some indexing operations awkward and some functions that
> expect a numpy array (but think they can handle sub
On Mi, 2015-02-11 at 11:38 -0500, cjw wrote:
>
> On 11-Feb-15 10:47 AM, Sebastian Berg wrote:
>
> > On Di, 2015-02-10 at 15:07 -0700, cjw wrote:
> > > It seems to be agreed that there are weaknesses in the existing Numpy
> > > Matrix
> > > Class.
> > >
> > > Some problems are illustrated below.
Just recalling the one-year-ago discussion:
http://comments.gmane.org/gmane.comp.python.numeric.general/56494
Alan Isaac
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On 11-Feb-15 10:21 AM, Ryan Nelson
wrote:
So:
In [2]: np.mat([4,'5',6])
Out[2]:
matrix([['4', '5', '6']], dtype='
Thanks Ryan,
We are not singing from the same hymn book.
Using PyScripter, I get:
*** Python 2.7.9 (default, Dec 10
On 11-Feb-15 10:47 AM, Sebastian Berg
wrote:
On Di, 2015-02-10 at 15:07 -0700, cjw wrote:
It seems to be agreed that there are weaknesses in the existing Numpy Matrix
Class.
Some problems are illustrated below.
Not to delve deep
On Di, 2015-02-10 at 15:07 -0700, cjw wrote:
> It seems to be agreed that there are weaknesses in the existing Numpy Matrix
> Class.
>
> Some problems are illustrated below.
>
Not to delve deeply into a discussion, but unfortunately, there seem far
more fundamental problems because of the always
So:
In [2]: np.mat([4,'5',6])
Out[2]:
matrix([['4', '5', '6']], dtype=' wrote:
> It seems to be agreed that there are weaknesses in the existing Numpy
> Matrix
> Class.
>
> Some problems are illustrated below.
>
> I'll try to put some suggestions over the coming weeks and would appreciate
> comme
Ok, thanks for the reply!
Indeed, I know about the use of transformation matrices to manipulate
points in space.
That's all matrix manipulation anyway
But, (and perhaps this is not the right place to ask the following
question):
But are there no known mathmatical algorithms which involve the
On 11 February 2015 at 08:06, Kartik Kumar Perisetla
wrote:
> Thanks David. But do I need to install virtualenv on every node in hadoop
> cluster? Actually I am not very sure whether same namenodes are assigned for
> my every hadoop job. So how shall I proceed on such scenario.
I have never used
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