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pollfly
2023-11-05 10:30:37 +02:00
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commit 8c4d299efd
17 changed files with 34 additions and 33 deletions
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4
docs/clearml_data/clearml_data_sdk.md
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@@ -28,8 +28,8 @@ ClearML Data supports multiple ways to create datasets programmatically, which p
will inherit its data
* [`Dataset.squash()`](#datasetsquash) - Generate a new dataset from by squashing together a set of related datasets
You can add metadata to your datasets using the `Dataset.set_metadata` method, and access the metadata using the
`Dataset.get_metadata` method. See [`set_metadata`](../references/sdk/dataset.md#set_metadata) and [`get_metadata`](../references/sdk/dataset.md#get_metadata).
You can add metadata to your datasets using [`Dataset.set_metadata()`](../references/sdk/dataset.md#set_metadata),
and access the metadata using [`Dataset.get_metadata()`](../references/sdk/dataset.md#get_metadata).
### Dataset.create()

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docs/clearml_data/data_management_examples/data_man_cifar_classification.md
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@@ -102,7 +102,7 @@ hyperparameters. Passing `alias=<dataset_alias_string>` stores the dataset's ID
`dataset_alias_string` parameter in the experiment's **CONFIGURATION > HYPERPARAMETERS > Datasets** section. This way
you can easily track which dataset the task is using.
The Dataset's [`get_local_copy`](../../references/sdk/dataset.md#get_local_copy) method returns a path to the cached,
[`Dataset.get_local_copy`](../../references/sdk/dataset.md#get_local_copy) returns a path to the cached,
downloaded dataset. Then the dataset path is input to PyTorch's `datasets` object.
The script then trains a neural network to classify images using the dataset created above.