Javier Arturo Porras Luraschi

This sounds pretty great, honestly! Our hesitation here is that we need to reconsider how one trains `torch` jobs in the cloud, if the answer is `cloudml`, which I think...

I'd add that currently, `cloudml` does not have a dependency to Python/`reticulate`, so this could be a great way to train models. However, is also worth considering if we could...

Most likely, this is external and we would need a consistent repro to open an issue with Google CloudML. I've seen this a couple times, but I can't hit this...

@rtjohn I would first try training simple MNIST by running: ```{r} dir.create("mnist-train") file.copy(system.file("examples/mnist/train.R", package = "cloudml"), "mnist-train") setwd("mnist-train") cloudml::cloudml_train() ``` Would the above script train correctly? If it does, then...

@wwells just tried running a simple job which succeeded, would you mind running `MNIST` as well? You can find the file path under `system.file("examples/mnist/train.R", package = "cloudml")`. Running `MNIST` should...

@wwells I get an access denied to the imagenet dataset, but the R script does run which means that the copy succeeds under my account... Where can I get the...

@wwells the logs seem to show that this is hanging while compiling the model, which should be unrelated to where the data is. However, I would still recommend rerunning your...

@kevinushey might have some thoughts, in the meantime, since `cloudml` copies all the contents of your local directory, you could build your private library and save the `.tar.gz` file in...

Thanks for the additional info and closing this one.

I would like to also assign constants with code similar to: ```python import hal9 as h9 h9.dropdown("dropdown", on_update=lambda value: h9.set("dropdown", value), values=['x','y','World','Universe'], value='y') h9.html("html", rawhtml=lambda: 'Hello World') ```