uncertainpy
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simetenn
Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
Dear Uncertainpy developers, I added the possibility to scale the axes since one might want to show results using for instance log format. What do you think about this possibility?...
Hello, I am trying to conduct PCE for uncertainty quantification for a model that produces time series data. The output is 1200 data points. I am doing UQ with 11...
Hi, I am trying to run the coffee cup example with dependant variables. I am passing the dependant distribution to the Uncertainpy as `Parameters(distribution=joint_mvNorm)`, which later fails with an error....
It reminded that chaospy.expansion.stieltjes should be used instead of chaospy.orth_ttr when using the polynomial chaos method. For now it has already shown a problem for saving data.
Hi, I have a minor question: You defined the number of collocation points for PCE such as: ```python nr_collocation_nodes = 2*len(P) + 2 ``` then draw samples from the corresponding...
Hi, i'm trying to install uncertainpy through pip. I think there are some problems with the dependency with matplotlib, I'm now using matplotlib 3.4.2 with python 3.9. During the installation...
With the changes to travis the CI have to be anyway. Instead of moving to the new travis the CI should probably be moved to another provider such as CircleCI...
As is, the [coffee cup notebook](https://github.com/simetenn/uncertainpy/blob/master/examples/coffee_cup/coffee_cup.ipynb) leaves a *so what?* impression. I kindly suggest you include the code for the final plots as shown in the front (README) page of...
Hi! What is the rationale behind the Matplotlib version dependency (< 3.1.3 if I remember correctly)? The current version of Matplotlib is 3.3.3 and I like to use the latest...
