Comments (1)
Hi @es101n , I'm happy to announce that starting v0.10.3 we support xgboost 🎉
pip install trains==0.10.3
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Related Issues (20)
- Incorrect ordering of iterations in scalar reporting of metrics HOT 1
- Greater control in downsampling used in plots HOT 2
- Modify report_matplotlib_figure to Omit Iteration Value When iteration=None HOT 3
- Error when calling classes through Fire HOT 2
- Use a function of iterations (e.g. epochs) as the time scale for scalars and plots HOT 2
- Pathlib Path instances in a dataclass do not get tracked by task.connect() HOT 1
- delete datasets after call get_local_copy
- report_matplotlib_figure of subplots HOT 2
- How to use Omegaconf without Hydra? HOT 1
- Scrolling log problem when using tqdm as training process bar HOT 5
- ClearML feature for integration KerasTuner is broken HOT 1
- Fix typo in docs and default sdk config HOT 1
- Executing clearml-task from cli with "-m" modules HOT 1
- Dynamic GPU/Queue Allocation for Workers in ClearML
- Add tag with Clearm-task (cli tools) HOT 1
- Problem creating datasets with Azure storage when multi file HOT 5
- Task creation failed!Always searching for this project? But I don't have it! HOT 1
- Support Megatron-LM training job on k8s cluster HOT 4
- Model.get_local_copy with specific download path. HOT 1
- "413 Request Entity Too Large" when uploading files to ClearML HOT 4
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