Hi all...!
I don't know how to import our own data sets in python. its
always importing the in built data sets. could you just tell me how to do
that...!
Thanks...!
On Mon, Jan 28, 2013 at 1:50 PM, Steven D'Aprano wrote:
> On 28/01/13 18:26, Gayathri S wrote:
>
>> Hi all..!
>>
On 28/01/13 18:26, Gayathri S wrote:
Hi all..!
wanna know how to compile python script in python command line,
and is there any need for setting path for python like JAVA? whats the
difference between .py file and .pyc file?
Python is a byte-code compiled language, like Java many y
Hi all..!
wanna know how to compile python script in python command line,
and is there any need for setting path for python like JAVA? whats the
difference between .py file and .pyc file?
Thanks...!
On Sat, Jan 19, 2013 at 8:54 AM, bob gailer wro
On 1/18/2013 8:03 AM, eryksun wrote:
Yes, it's a mistake in the PCA example from the docs:
http://mlpy.sourceforge.net/docs/3.5/dim_red.html#principal-component-analysis-pca
There seems to be no way to report a bug in that documentation! Or am I
missing something?
--
Bob Gailer
919-636-4239
C
On Fri, Jan 18, 2013 at 3:25 AM, Lie Ryan wrote:
> On 18/01/13 17:11, Gayathri S wrote:
>>
>> >>> 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,
On 18/01/13 17:11, Gayathri S wrote:
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]
On Thu, Jan 17, 2013 at 10:11 PM, Gayathri S wrote:
> >>> 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
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_no
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 wrote:
> On 02/01/13 07:20, Gayathri S wrote:
>
>> Hi..
>> I am using python 2.7
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 ther
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?
Hi,
This list is for learning Python and its standard library.
Your question looks to be specific
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