-
The MSL contains some chaotic models, which are theoretically guaranteed to provide diverging trajectories over time, no matter how accurate the tool and the integration algorithm is. Of course there …
-
Can statsmodels do orthogonal regression (also known as total least squares). I.e. the red line in this question: https://stats.stackexchange.com/questions/332819/line-of-best-fit-does-not-look-like-a…
-
Let's say I have a model like this:
```
model = "log(y) ~ s"
fit = ols(model, data=data).fit()
```
Presumably I am trying to predict `y` from `s`. I am taking the log of the left hand side so that I…
-
Find an open dataset online to work on and share it here!
-
I'm looking for feedback from anyone with experience of SIMs in terms of:
- [ ] How to not reinvent the wheel? Aim is for modelling functions in {spflow} and {gravity} and other packages to be easy…
-
It would be good to have numerical integration and differentiation. Integration would be using the Newton–Cotes formulas, and differentiation by the Symmetric derivative.
-
### Description
In some cases (see e.g. #7734) derivatives are involved in nonlinear strong components. If not solved with the appropriate precision, they may fool the ODE solvers's error control m…
-
I am using rocket transform and ridge regression to predict timeseries data.
```
x_train shape : (800, 644, 36)
x_test shape : (200, 644, 36)
y_train shape : (800, 644 * 1008)
y_test shape : …
-
## Slides
Current size of slide sets (cap at 25, except Week 1). Revise readings, practice sessions and exercises, and include screenshots of videos when relevant.
- [x] 1. 37 -- OK, cap at ~ 40…
-
Hello @YangZhang4065 ,
Thanks for the nice work. I'm trying to train model to estimate the global label distribution. Can you give more details of the architecture and training scheme?
Thanks!