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pollfly
2024-02-26 17:24:58 +02:00
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4
docs/clearml_data/clearml_data_cli.md
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@@ -103,9 +103,9 @@ clearml-data remove [-h] [--id ID] [--files [FILES [FILES ...]]]
## upload
Upload the local dataset changes to the server. By default, it's uploaded to the [ClearML Server](../deploying_clearml/clearml_server.md). You can specify a different storage
Upload the local dataset changes to the server. By default, it's uploaded to the ClearML file server. You can specify a different storage
medium by entering an upload destination. For example:
* A shared folder: `:/mnt/shared/folder`
* A shared folder: `/mnt/shared/folder`
* S3: `s3://bucket/folder`
* Non-AWS S3-like services (e.g. MinIO): `s3://host_addr:port/bucket`
* Google Cloud Storage: `gs://bucket-name/folder`

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docs/clearml_data/clearml_data_sdk.md
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@@ -69,8 +69,8 @@ Use the `output_uri` parameter to specify a network storage target to upload the
* Google Cloud Storage: `gs://bucket-name/folder`
* Azure Storage: `azure://<account name>.blob.core.windows.net/path/to/file`
By default, the dataset uploads to ClearML's file server. The `output_uri` parameter of the [`Dataset.upload`](#uploading-files)
method overrides this parameter's value.
By default, the dataset uploads to ClearML's file server. The `output_uri` parameter of [`Dataset.upload()`](#uploading-files)
overrides this parameter's value.
The created dataset inherits the content of the `parent_datasets`. When multiple dataset parents are listed,
they are merged in order of specification. Each parent overrides any overlapping files from a previous parent dataset.
@@ -98,8 +98,8 @@ squashed_dataset_2 = Dataset.squash(
)
```
In addition, the target storage location for the squashed dataset can be specified using the `output_uri` parameter of the
[`Dataset.squash`](../references/sdk/dataset.md#datasetsquash) method.
In addition, the target storage location for the squashed dataset can be specified using the `output_uri` parameter of
[`Dataset.squash()`](../references/sdk/dataset.md#datasetsquash).
## Accessing Datasets
Once a dataset has been created and uploaded to a server, the dataset can be accessed programmatically from anywhere.

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docs/clearml_data/data_management_examples/data_man_python.md
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@@ -62,7 +62,7 @@ Upload the dataset:
dataset.upload()
```
By default, the dataset is uploaded to the ClearML File Server. The dataset's destination can be changed by specifying the
By default, the dataset is uploaded to the ClearML file server. The dataset's destination can be changed by specifying the
target storage with the `output_url` parameter of the [`upload`](../../references/sdk/dataset.md#upload) method.
### Finalizing the Dataset