Thanks Fred and all. Appreciate the help.
On Fri Jan 10 2014 at 1:26:13 PM, Fred Mailhot
wrote:
There are a few implementations of DTW in Cython floating around...I think
mblondel has one. Maybe you could tweak one of these and see whether it
yields a useful speed-up?
https://github.com/SnippyH
There are a few implementations of DTW in Cython floating around...I think
mblondel has one. Maybe you could tweak one of these and see whether it
yields a useful speed-up?
https://github.com/SnippyHolloW/DTW_Cython
http://www.mblondel.org/journal/2009/08/31/dynamic-time-warping-theory/
https://gi
Am I correct to assume the only algorithm that will work with a custom
distance metric is "brute"? DWT with 1NN is performing pretty slow with
just 10,000 observations.
New to Python, perhaps I could write the distance metric function more
efficiently?
# Define function to compute dynamic time wa
Fully agreed with Lars.
On Fri, Jan 10, 2014 at 02:44:40PM +0100, Lars Buitinck wrote:
> 2014/1/10 Robert Layton :
> > I wonder if that check could be removed -- as long as the input is
> > fancy-indexable, the code should otherwise not have an issue (until it hits
> > the distance metric, in whic
Thanks Joel! Great suggestion. This is now working for my use case.
On Fri Jan 10 2014 at 5:46:17 AM, Lars Buitinck wrote:
> 2014/1/10 Robert Layton :
> > I wonder if that check could be removed -- as long as the input is
> > fancy-indexable, the code should otherwise not have an issue (until it
2014/1/10 Robert Layton :
> I wonder if that check could be removed -- as long as the input is
> fancy-indexable, the code should otherwise not have an issue (until it hits
> the distance metric, in which case you have that covered).
-1. Since high-d data is usually a mistake and NumPy offers easy
I'd recommend Joel's suggestion for the short term.
I wonder if that check could be removed -- as long as the input is
fancy-indexable, the code should otherwise not have an issue (until it hits
the distance metric, in which case you have that covered).
On 10 January 2014 13:09, Joel Nothman wr
Can you just reshape your 3d array to a 2d array, and then reshape when
input by your distance metric?
On 10 January 2014 12:59, Mark Regan wrote:
> Hi all,
>
> tldr: Is there a way for me to pass a 3D array to KNearestNeighbour?
>
> I have constructed a custom distance metric to be used with K
Hi all,
tldr: Is there a way for me to pass a 3D array to KNearestNeighbour?
I have constructed a custom distance metric to be used with KNN. It takes *two
2D arrays* and returns a float. I believe this fits the requirements for a
distance metric in sklearn.
However, I am unable to pass a 3D arr
