Jianzhong Liu wrote:
> Hello, Guys,
>
> I have a question about the linear_least_squares in Numpy.
>
> My linear_least_squares cannot give me the results.
>
> I use Numpy1.0. The newest version. So I checked online and get your
> guys some examples.
The package name for numpy 1.0 is "numpy", no
> I have a question about the linear_least_squares in Numpy.
Not quite sure what is going on, it looks like there could be some
confusion as to linear_least_squares is expecting as an argument of
some Numeric arrays and what you are supplying (a Matrix) is perhaps
not close enough to being the sam
Hello, Guys,
I have a question about the linear_least_squares in Numpy.
My linear_least_squares cannot give me the results.
I use Numpy1.0. The newest version. So I checked online and get your
guys some examples.
I did like this.
[EMAIL PROTECTED] 77] ~ >> py
Python 2.4.3 (#1, May 18 2006,
> The version I have in front of me is a bit shorter, 252 pages, but describes
> polyfit in section 5.3 on page 91 along with the other polynomial functions.
> lstsq (linear_least_squares is a backwards-compatibility alias that was
> recently
> moved to numpy.linalg.old) is described in section 10
nikie wrote:
> Robert Kern wrote:
>
>>Both functions are described in the full book. Were you just looking at the
>>sample chapter?
>
> No, I've got the full PDF by mail a few days ago, "numpybook.pdf", 261
> pages (I hope we're talking about the same thing). I entered
> "linear_least_squares" an
Robert Kern wrote:
> Both functions are described in the full book. Were you just looking at the
> sample chapter?
No, I've got the full PDF by mail a few days ago, "numpybook.pdf", 261
pages (I hope we're talking about the same thing). I entered
"linear_least_squares" and "polyfit" in acrobat's "
nikie wrote:
> Although I think it's worth reading, it only covers the fundamental
> structure (what arrays are, what ufuncs are..) of NumPy. Neither of the
> functions dicussed in this thread (polyfit/linear_least_squares) is
> mentioned in the file.
Both functions are described in the full book.
Although I think it's worth reading, it only covers the fundamental
structure (what arrays are, what ufuncs are..) of NumPy. Neither of the
functions dicussed in this thread (polyfit/linear_least_squares) is
mentioned in the file.
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Matt Crema wrote:
> > "More generally: Is there any kind of documentation that tells me what
> > the functions in NumPy do, and what parameters they expect, how to
> > call them, etc.
This is a good start too:
http://www.tramy.us/guidetoscipy.html
Yes, you have to pay for it, but the money go
Matt Crema wrote:
> To sum up a wordy post, "What do experienced users find is the most
> efficient way to navigate the numpy docs? (assuming one has already
> read the FAQs and tutorials)"
You're not likely to get much of an answer here, but if you ask on
[EMAIL PROTECTED], you'll get plenty
nikie wrote:
>
>
Hello,
I'm glad that helped, but let's not terminate this discussion just yet.
I am also interested in answers to your second question:
nikie wrote:
> "More generally: Is there any kind of documentation that tells me what
> the functions in NumPy do, and what parameters
Thank you!
THAT's what I've been looking for from the start!
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Matt Crema wrote:
> Robert Kern wrote:
>
>> nikie wrote:
>>
>>> I still don't get it...
>>> My data looks like this:
>>> x = [0,1,2,3]
>>> y = [1,3,5,7]
>>> The expected output would be something like (2, 1), as y[i] = x[i]*2+1
>>>
>>> (An image sometimes says more than 1000 words, so to make myse
Robert Kern wrote:
> nikie wrote:
>
>>I still don't get it...
>>My data looks like this:
>> x = [0,1,2,3]
>> y = [1,3,5,7]
>>The expected output would be something like (2, 1), as y[i] = x[i]*2+1
>>
>>(An image sometimes says more than 1000 words, so to make myself clear:
>>this is what I want to
nikie wrote:
> I still don't get it...
> My data looks like this:
> x = [0,1,2,3]
> y = [1,3,5,7]
> The expected output would be something like (2, 1), as y[i] = x[i]*2+1
>
> (An image sometimes says more than 1000 words, so to make myself clear:
> this is what I want to do:
> http://www.statist
I still don't get it...
My data looks like this:
x = [0,1,2,3]
y = [1,3,5,7]
The expected output would be something like (2, 1), as y[i] = x[i]*2+1
(An image sometimes says more than 1000 words, so to make myself clear:
this is what I want to do:
http://www.statistics4u.info/fundstat_eng/cc_regr
nikie napisal(a):
> I'm a little bit stuck with NumPy here, and neither the docs nor
> trial&error seems to lead me anywhere:
> I've got a set of data points (x/y-coordinates) and want to fit a
> straight line through them, using LMSE linear regression. Simple
> enough. I thought instead of looking
nikie wrote:
> I'm a little bit stuck with NumPy here, and neither the docs nor
> trial&error seems to lead me anywhere:
> I've got a set of data points (x/y-coordinates) and want to fit a
> straight line through them, using LMSE linear regression. Simple
> enough. I thought instead of looking up t
I'm a little bit stuck with NumPy here, and neither the docs nor
trial&error seems to lead me anywhere:
I've got a set of data points (x/y-coordinates) and want to fit a
straight line through them, using LMSE linear regression. Simple
enough. I thought instead of looking up the formulas I'd just se
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