Comments (2)
@constd thanks for the suggestion. At the moment it is only possible to configure axes range only manually. You can set axes range in the axes configuration popover.
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Hey, thank you for answering @gorarakelyan, this is exactly what gave me the idea. If training is running, one would have to keep adjusting the axes all the time :)
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Related Issues (20)
- HTTP Transport commit is creating issue to init repo HOT 1
- Support Python 3.12
- PendingRollbackError in Rapid Interaction Logging with aim.run"
- Automatically store the training code versions and its differences used in every session, similar to tools like WandB and Neptune
- Aim UI can't open within Jupyterlab notebook HOT 2
- Integrate Ruff Lint & Format for code standardisation
- Add more information (metrics, images) to an experiment (AimCallback is used there) HOT 1
- Export and import figures from one directory to another HOT 1
- Pytorch Lightning run is marked as finished after .fit loop HOT 5
- Import an offline wandb run HOT 1
- UI is sluggish HOT 1
- Integration with Hugging Face , the demo should add report_to="none" to TrainingArguments
- Base path is ignored when comparing metrics in new tab
- Update UI to make it more visually consistent
- Local saving of artifacts/dataframes HOT 2
- metrics explorer: when I set the X AXIS ALIGNMENT to "epoch", the graph shows "unable to draw lines with the current config please adjust the controls" HOT 1
- Directory Structures, DataFrame Page, & Others HOT 2
- Using Aim package on FIPS compatible machine results in Error. HOT 1
- How to store model checkpoints locally as artifacts HOT 2
- Tensorboard-like hparams scatter HOT 2
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