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Created with Raphaël 2.2.03May2130Apr2922212019181716854229Mar21191817161413118765128Feb272624222019161413129875229Jan242322191722Dec141319Sep518Aug17161514865432131Jul3028272622Jun22May16151211109818Apr171615141211[doc] Add base Model to documentation[model] Model takes loss type and arguments during instanciation[model] Fix balancing of multiclass targets[tests] Update cli tests[train] Add support for multiple validation dataloaders[train] Use loss balancing instead of sampler balancing[model] Use base model[model] Create base Model classMerge branch 'add-dockerfile' into 'main'[doc] Fix config[precommit] Remove author[dockerfile] Fix environment copy[dockerfile] No need to run pixi info[dockerfile] Use different endpoint for entrypoint script[pixi] Update lockfile[dockerfile] Install pip and properly configure pixi[dockerfile] Try a different strategy for wheel installation[dockerfile] Try to build using a pixi ready-made image[pyproject] Do not install cuda runtime (expect it on the host machine)[dockerfile] Use CUDA runtime image[dockerfile] Use CUDA base image[dockerfile] Improve base prototype[pixi] Simplify cuda setup for users[dockerfile] Add prototype[scripts.utils] Sort dependence namesMerge branch 'experiment-upload' into 'main'[doc] Add a note about direnv usage[scripts.upload] Make uploaded data a bit more obvious; Report size of uploaded material; Report URL of uploaded model/experiment; Move gitlab functions to dedicated module; Document dedicated module; Fix QA[pre-commit] Update plugins[pixi] Update lockfile with latest changes on environmentsRemove try/catch block for auth, no need it #60.File limit flag is added #60.Add auth check before start uploading.Import modules when necessary #60.Delete temp model file after it's done #60.Swithcing to lightweight package for MLFlow #60.[test] Update paths[results] Hardcode trainlog and evaluation file namesChange flag for experiment path for better intuition. #60Make function names private and more clear, #60