jamovi

Hi,

Thank you very much, now it does install!

However, I've found that some dependecies do not install depending on the Jamovi version. In particular the package 'dtwclust' only gets installed when using the solid version (2.6.45) for Intel based Macs and not for the current version (2.7.11). It ...

Hi,

I'm trying to install the package "MLwrap" for a jamovi module but I'm getting the following error with jmvtools::install():

Warning message:
package ‘MLwrap’ is not available for this version of R

If I install the package manually from CRAN and adding the folder to the /build folder it does ...

Hi,

I'm currently working with a multiclass classification model and I would like to be able so save the predicted probabilities for each class as an output. The problem is that I don't know a priori how many classes there are, I've tried using an array of outputs on the results file but it doesn't ...

Thank you very much, this was exactly what I needed.

Cheers,

Javier

Hi,

I would like the user to specify the levels of a polytomous dependent variable by hand but the TextBox size is too small horizontally, is there an easy way of increasing its size horizontally? Thank you in advance.

cheers,

Javier

Hi,

I'm developing a module with some ML models which are computationally expensive. Is there a way to save the model so that it doesn't have to be retrained everytime I select a new plot/results option? I have tried the self$results$.setModel with a "property" type on the results file but ...

Hi Jonathon,

Yes, my u.yaml file has the compilerMode set to tame. My guess is that I don't add enough functionality so it just deletes my update method.

Javier

Hi Damian,

I've tried adding a {supplier}_{update} method similar to the example on the example on https://github.com/jamovi/jmv/blob/0a41afc406dc85f3af7cb40c6f4599a1181e64fb/jamovi/js/anova.js#L24 , but my js export section gets deleted when I install the module. Also my regression.src.js file ...

Hi Jonathon,

I'm not sure what the issue is exactly. When I run brulee on RStudio, there are no problems, but on Jamovi even a very minimal model gives the resource limit error. All the other models (SVM, XGBOOST etc.) run without problems on Jamovi even with wide hyperparameter tuning grids ...

Hi,

I'm currently developing a module focused on ML modelling. I am using the parsnip package to fit my models and I'm having trouble with the neural network function using the "brulee" inference engine which in turn uses torch as a backend. When I try to run a small model I get the "resource limit ...