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`solve` does work:
```julia
using DifferentialEquations, Flux, Optim, DiffEqFlux, DiffEqSensitivity, Plots, OrdinaryDiffEq, Zygote, StaticArrays, LinearAlgebra
A = [0. 1.; 1. 0.; 0 0; 0 0];
…
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I am testing the recurrent neural network code and there are some things which are not clear in the included testing code:
1. In RNNSineTest (regression) it is stated at the end that "Adjust the ve…
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Continued from thread on forum:
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I'm adapt the first and simplest example in the readme, but `diffeq_rd` doesn't seem to be working with a complex matrix ODE.
Even something like
```julia
function myode(du,u,p,t)
du = u;
e…
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Hi, I am new to this framework & GP in general - I am not sure if this is the right place to ask this kind of question.
I am trying to perform online classification on a variable-length multivariat…
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This is a question, and I hope it is ok to ask it here.
While looking at the pyts.image.gaf module I've come across the parameter 'overlapping' that says "If True, reduce the size of each time serie…
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the save_timeseries method only support saving for univariate time series as per my understanding, it would be nice if we could save multivariate timeseries as well. The load_timeseries works fine on…
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Hello,
I installed wildboar on Ubuntu 18.04 LTS, with Python 3.6.8 using pip. The examples run perfectly fine, but whenever I try to run it on my data I get a segmentation fault. How can I resolve th…
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Hey! Great package! Initially I had trouble to install because some of my packages were outdated. But after updating everything it ran pretty smooth.
- It took me a bit to understand the logic of t…
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For example, the Enders model in Stata's ts.pdf.
``` python
from statsmodels.tools.tools import webuse
dta = webuse('wpi1')
wpi = dta['wpi']
ln_wpi = dta['ln_wpi']
mod = sm.tsa.ARIMA(ln_wpi).fit(ord…