Sebastian Fischer

icon location Berlin icon location PhD Student in Statistics

Results 389 comments of Sebastian Fischer

example of creating your own task?

> Also in the example code above I provided, it appears to be missing a pipeop between nn_linear and torch_loss. Why isn't this an error? > > I would expect...

example of creating your own task?

Probably, the best resource for you would be: https://mlr-org.github.io/mlr3torch-course/notebooks/6-mlr3torch.html#working-with-non-tabular-data (I guess the main action point (that we want to tackle anyways) is to unify the documentation of mlr3torch, probably as...

example of creating your own task?

> > nn_head is basically just a nn_linear that infers the output dimension from the task, but its equally valid to do create own nn_linear, so i don’t think this...

missing batch_size error inconsistent with torch docs, batch_sampler arg

Thanks, will fix this!

Clarify encoding pipeline

@mb706 the CI now runs again. should this be merged?

cv.glmnet weights are inverted

Hey @tdhock, thanks for bringing this up. This seems to be intentional to keep it consistent with the behavior of glmnet: https://github.com/mlr-org/mlr3learners/commit/fbb2275aa0b0f56eaba183a28b307d92999e6df1 Also it seems to be documented under the...

cv.glmnet weights are inverted

Yes right, glm.

How to Dynamically Tune the Number of Layers in a Neural Network Using mlr3torch?

Hey @iLivius and thanks for your interest in the package! I think there is currently no obvious way to achieve what you want, so thanks for raising this usecase. I...

How to Dynamically Tune the Number of Layers in a Neural Network Using mlr3torch?

yes, this is what i had in mind!

How to Dynamically Tune the Number of Layers in a Neural Network Using mlr3torch?

So if I understand you correctly, your question is why e.g. `block_2.linear_2.out_features` is present even though the `nop_2` was selected in the second layer? This parameter (`block_2.linear_2.out_features`) definitely has no...