Congrats Stefan, btw. Now sure where you find the time man.
On Thu, Feb 5, 2015 at 8:28 PM, Juan Nunez-Iglesias jni.s...@gmail.com
wrote:
Hmm, not sure why this didn't render:
Hi all,
Sorry for cross posting but we are trying to get as many great submissions
as possible! I'll keep things
, Aug 2, 2014 at 9:32 PM, Adam Hughes hughesada...@gmail.com
wrote:
Just to give an example, here's how I want to apply PCA to spectroscopy
experiments:
http://pdf.lookchem.com/pdf/32/f21930e7-09dc-4f70-ba24-f1edf8fdf02e.pdf
On Sat, Aug 2, 2014 at 3:28 PM, Adam Hughes hughesada...@gmail.com
Deepak,
Thanks for getting this discussion started. I also had some similar
concerns. There are some new applications in spectroscopy that use the
principle components on spectral data; however, in those systems, the
centering is done along the feature axis. Thus, my dataset is shaped like
Just to give an example, here's how I want to apply PCA to spectroscopy
experiments:
http://pdf.lookchem.com/pdf/32/f21930e7-09dc-4f70-ba24-f1edf8fdf02e.pdf
On Sat, Aug 2, 2014 at 3:28 PM, Adam Hughes hughesada...@gmail.com wrote:
Deepak,
Thanks for getting this discussion started. I also
you want a PCA on X.T (X transposed).
HTH
Alex
On Tue, Jul 22, 2014 at 3:14 AM, Adam Hughes hughesada...@gmail.com
wrote:
Hi,
I'm really enjoying scikit learn and looking to add a lite version of
PCA to
some programs I'm working on, derived mostly from the decomposition.PCA
class. I
Hi,
I'm really enjoying scikit learn and looking to add a lite version of PCA
to some programs I'm working on, derived mostly from the decomposition.PCA
class. I have a few quick questions, and really would appreciate some help
from the experts.
First, the PCA class is designed to operate on
Hello,
We have a very closely related example to the multiclass iris example:
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between integers
and the resulting colors too well.
On Mon, Apr 7, 2014 at 12:29 PM, Adam Hughes hughesada...@gmail.com wrote:
Hello,
We have a very closely related example to the multiclass iris example:
--
Put Bad
://wiki.scipy.org/Cookbook/Matplotlib/Show_colormaps
2014-04-07 11:33 GMT-05:00 Adam Hughes hughesada...@gmail.com:
Sorry, prematurely sent:
We have a very closely related example to the multiclass iris SGD
example:
http://scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_iris.html
Hello,
I'm trying to follow the spectral clustering
examplehttp://scikit-learn.org/stable/auto_examples/cluster/plot_segmentation_toy.html
and
am not very skilled in machine learning. From reading about normalized
cuts, I understand most of what is going on, but am confused particularly
in this
:11:46PM -0400, Adam Hughes wrote:
I noticed in the PCA class methods fit() and fit_transform(), there is a
keyword option y=none that is never actually used. I was curious why
this
is, but it's not all the important.
Because methods should have the same signature across scikit-learn
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