[1]I'm are trying to solve NLP, MINLP and SOCP using the licensed version of FICO Xpress, but I'm facing this warning. Can you help me out with this issue?
Also I'm using opt=SolverFactory('xpress') to call the solver.
[1]: https://i.stack.imgur.com/xZ1kM.png [Warning observed]
Related
I am looking into openmodelica and therefore I am recreating examples from the standard library.
Under Modelica > Fluid > Examples there is the HeatingSystem model which I recreated and the simulation fails due to division by zero. The original one from the library also fails.
I have two questions:
is it just me, or is it a buggy example?
If it is not me: Can somebody help me resolve the issue using the debugger, which confuses me very much?
I am running the latest nighly (since the fedora repo only offers nightlies..) with MSL 4.0.0
I'm trying to run the sample code in https://github.com/JuliaDiffEq/NeuralNetDiffEq.jl/blob/master/test/NNODE_tests.jl (first example on scalars) but am getting a UndefVarError: Tracker not defined error. I tried using Flux.Tracker and using Tracker but couldn't get it fixed. Has Tracker been deprecated? Or is it some compatibility issue? I'm using Flux v0.10.1 and Tracker 0.2.6. Thanks!
I've found 2 solutions to this problem:
Downgrade to Flux v0.9 (which has Flux.Tracker) using Pkg.add(Pkg.PackageSpec(;name="Flux", version="0.9.0"))
Edit the NeuralNetDiffEq ODE solver jl files:
For solution 2, first use using Pkg; Pkg.add("Tracker"). Then do import NeuralNetDiffEq; path(NeuralNetDiffEq) to find the package path. Open ode_solver.jl (or whichever solver you are using), and then add using Tracker at the top of the file.
(Note as of Jan 16 2019, NeuralNetDiffEq doesn't completely work with Flux 0.10!)
Hope this will be useful to someone!
I have installed opendaylight Neon SR1 and trying to install the features odl-l2switch-switch and odl-dlux-application but it gives an error saing no matching features found
if these features has been dropped in Neon SR1 then what are the other alternative features I can use instead of those mentioned above ?
Appreciate your help
thank you
There are no alternatives for l2-switch and dlux. You could use an earlier release.
I am new in the world of OpenMDAO (and also on Python) and I am having some problems to understand the use of the software. I have already installed Anaconda (pyth v2.7) and the OpenMDAO, but I don't know how to run it. I am following this tutorial but I am not sure if I am doing it properly. I write the .py files in notepad++, and I try to run on the IPython but when I use the command : from paraboloid import Paraboloid it appears an error : No module named.api. I think that maybe I am not using the correct path (I'm in the folder where I have the .py files). Probably it's an stupid error, so sorry for the question.
Thank you all, Jose M O
If your tutorial link above is correct, I see that you are using a tutorial for OpenMDAO 0.1.0. That version is 5.5 years old at this time, and is no longer supported. We will be happy to help with your questions, but to get a better foundation, and a much more useful tool, please consider:
Install OpenMDAO 1.5.0 (pip install openmdao or read these installation docs)
Try this paraboloid tutorial instead.
Good luck,
Keith
NOTE: If you installed OpenMDAO 1.x.x and are using the tutorial from 0.1.0, you would have many problems with api imports, as many things have changed since 0.1.0.
I am working for the Datameer plugin development and I am struck at Tutorial 3 of it. Does anybody know where do I see that Freemarker widget that I build in tutorial 3 working in Datameer UI???
I don't have the permission to create new tags and hence putting it under Hadoop. If anybody has the appropriate privileges, please create one for Datameer
Unfortunately the tutorial was for Datameer v1.4. We introduced an entirely new data visualization module in v2.0 and we are working on providing the same customizability for it in a near future release.
Sorry for the delayed response on this post. It turns out that in version 2.0+ of Datameer the visualization (now called Infographics) module has been rewritten leveraging the power of HTML5 to more intuitively visualize your data analysis.
I recommend that you take a look at the new features that 2.0 has to offer under http://www.datameer.com/learn/videos.html.