Closed BKillen05 closed 2 years ago
Hello,
Apologies for the late response.
There should not be any limitations on the number of variables or degrees, but we advise that you stay below 5-6 variables (this limitation is due to the construction of tensor-product splines, rather than SPLINTER). Also, for most applications it is sufficient to use cubic splines.
I am not familiar with that error message, but I see that you are running an older SPLINTER version on Windows. I suspect that this may be causing you trouble.
If you have the opportunity, you could try to solve your problem on a Linux machine. You can use pip to install the latest splinter version. It currently resides in the develop branch, where you will find some instructions.
Hope this helps!
Hello,
Thank you for your response.
For my problem I should have a maximum of 4 variables which I want to the cubic spline function fitting for.
Unfortunately, the problem I want working on is part of a backend for a Windows Application so moving to or trying on a Linux machine isn't an option.
Is there anyway which I can install the most up to date version on my Windows machine or it is likely the version I am using is the most up to date Windows version ?
Thank you
Hi,
We have not made a release of version 4 yet - it is the version you will find in the develop branch. So you basically have two options:
If you go with option 1), you may seek some advice from @gablank. It should be possible to get the latest version running on Windows relatively quickly.
I had to go back and check the Python API of the version you are using (v3) and I see that we did, at that point, hardcode a limit on the degree. The limit was 0 <= degree <= 5.
For development purposes you may try to solve your problem on a virtual Linux machine. It may be a good idea to check that SPLINTER actually solves your problem satisfactory before you attempt to compile for Windows.
Thank you for all your suggestion. I cleaned up some of the input for my code and the way which I constructed the input matrix. It seems that may have been causing my problem. Using version 3 in python 2.7 solved my problem perfectly. Thanks again for the help and making the toolbox freely available.
Best
I have just started using / investigating this project and it looks like exactly what I am looking for. I am using the python interface and intend to fit cubic B-splines to n number of independent variable data, the number of variables can be anywhere from 1 up to a possible 6, i.e., 6 input values to a single output.
I have been able to run all the examples for bivariate splines and have been able to implement the splines for both one and two variables but when I try 3 or more I get an error (attached). I have looked through the other examples but cannot find any examples for anything greater than bivariate.
Is it possible to use Splinter for this number of input variables ? Apologies in advance if this is not the appropriate place to post such a question.
Thank you in advance for any clarification or information you can provide.