Breno W. S. R. de Carvalho

Obs.: I got the same error message when running on GPU or CPU

My `$DATASRC/records/ilsvrc_2012/dataset_spec.json` file matches most of the original `ilsvrc_2012_dataset_spec.json` [file in the repository](https://github.com/google-research/meta-dataset/blob/main/meta_dataset/dataset_conversion/dataset_specs/ilsvrc_2012_dataset_spec.json). The only difference is the training split that seems to have being generated at random: 

[ilsvrc_json_diff_ilsvrc_original.txt](https://github.com/google-research/meta-dataset/files/6462409/ilsvrc_json_diff_ilsvrc_original.txt) This is the complete diff file, just for reference. Oh, I had the same issue using the `crosstransformer_simclreps_imagenet.gin` configuration file

Hi team, just a quick update on this issue: I checked out an older commit, 0c8a9bb, and this error disappeared. This is the following git checkout command that I ran:...

Hi @massih10 I ran into the same problem as you. I solved it by uninstalling the meta-dataset package using `pip` and then installing it again using the `setup.py` file. Do...

Thank you very much for the fast replys @batflyer, and @mayukhdas :) > It is a similar concern related to a previous issue #21. Yep, it is a related question,...

I am trying to learn frame_element_anno. My bk file looks like this: ``` //... mode: frame_element(+val,+val). mode: frame_element(-val,+val). mode: frame_anno(+sent,-const,-const,-val). mode: frame_element_anno(+sent,-const,-const,-val,+val). //... ``` Some of the rules I get...

Gotcha, thank you :) Is there a way where I can set some initial nodes to always participate in the tree creation? I want to experiment and see if some...

@marcdhansen raises an excellent point! The inability to seamlessly integrate target label preprocessing into scikit-learn's classification pipelines is a notable limitation. As I work on projects with XGBoost and utilize...