hi...
I am using principal component analysis for dimensionality
reduction in python. am having this following error...
>>> import numpy as np
>>> import matplotlib.pyplot as plt
>>> import mlpy
>>> np.random.seed(0)
>>> mean,cov,n=[0,0],[[1,1],[1,1.5]],100
>>> x=np.random.multivariate_normal(mean,cov,n)
>>> pca.learn(x)
Traceback (most recent call last):
File "<interactive input>", line 1, in <module>
NameError: name 'pca' is not defined
>>>
would you please help me in finding the error...? what was my fault? how
could i use PCA in python..?
Thanks.....!
On Wed, Jan 9, 2013 at 12:58 PM, Gayathri S <gayathri.s...@gmail.com> wrote:
> Hi..
> I would like to use Principal component analysis independent
> component analysis in python. Wanna know whether it will support this
> efficiently or not?
>
>
> On Wed, Jan 2, 2013 at 4:59 PM, Alan Gauld <alan.ga...@btinternet.com>wrote:
>
>> On 02/01/13 07:20, Gayathri S wrote:
>>
>>> Hi..
>>> I am using python 2.7 and scikit-learn for machine learning.
>>> And OS is Windows 7. Wanna know how to import our own data sets in
>>> scikit-learn?
>>>
>>
>> Further to my last mail there is a gmane group
>>
>> gmane.comp.python.scikit-learn
>>
>> I'd try looking there, or wherever it is sourced originally.
>>
>>
>>
>> --
>> Alan G
>> Author of the Learn to Program web site
>> http://www.alan-g.me.uk/
>>
>> ______________________________**_________________
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>>
>
>
>
> --
>
>
>
>
> Keep Smiling.........
> Regards........
> Gayu....
>
--
Keep Smiling.........
Regards........
Gayu....
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