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pollfly
2023-01-25 13:25:29 +02:00
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docs/hyperdatasets/dataset.md
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@@ -124,7 +124,7 @@ Dataset.delete(
```
This supports deleting sources located in AWS S3, GCP, and Azure Storage (not local storage). The `delete_sources`
parameter is ignored if `delete_all_versions` is `False`. You can view the deletion process’ progress by passing
parameter is ignored if `delete_all_versions` is `False`. You can view the deletion process’ progress by passing
`show_progress=True` (`tqdm` required).
### Tagging Datasets
@@ -147,7 +147,7 @@ MyDataset.remove_tags(["dogs"])
Dataset versioning refers to the group of ClearML Enterprise SDK and WebApp (UI) features for creating,
modifying, and deleting Dataset versions.
ClearML Enterprise supports simple and advanced Dataset versioning paradigms. A **simple version structure** consists of
ClearML Enterprise supports simple and advanced Dataset versioning paradigms. A **simple version structure** consists of
a single evolving version, with historic static snapshots. Continuously push your changes to your single dataset version,
and take a snapshot to record the content of your dataset at a specific point in time.