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Small edits (#434)
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@ -117,8 +117,8 @@ dataset = Dataset.get(
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Pass `auto_create=True`, and a dataset will be created on-the-fly with the input attributes (project name, dataset name,
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Pass `auto_create=True`, and a dataset will be created on-the-fly with the input attributes (project name, dataset name,
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and tags) if no datasets match the query.
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and tags) if no datasets match the query.
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In cases where you use a dataset in a task (e.g. consuming a dataset), you can have its ID stored in the task’s hyper
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In cases where you use a dataset in a task (e.g. consuming a dataset), you can have its ID stored in the task’s
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parameters: pass `alias=<dataset_alias_string>`, and the task using the dataset will store the dataset’s ID in the
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hyperparameters: pass `alias=<dataset_alias_string>`, and the task using the dataset will store the dataset’s ID in the
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`dataset_alias_string` parameter under the `Datasets` hyperparameters section. This way you can easily track which
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`dataset_alias_string` parameter under the `Datasets` hyperparameters section. This way you can easily track which
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dataset the task is using. If you use `alias` with `overridable=True`, you can override the dataset ID from the UI’s
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dataset the task is using. If you use `alias` with `overridable=True`, you can override the dataset ID from the UI’s
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**CONFIGURATION > HYPERPARAMETERS >** `Datasets` section, allowing you to change the dataset used when running a task
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**CONFIGURATION > HYPERPARAMETERS >** `Datasets` section, allowing you to change the dataset used when running a task
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@ -48,7 +48,7 @@ flags.DEFINE_string('echo5', '5', 'Text to echo.', module_name='test')
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```
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```
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TensorFlow Definitions appear in **HYPER PARAMETERS** **>** **TF_DEFINE**.
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TensorFlow Definitions appear in **HYPEPARAMETERS** **>** **TF_DEFINE**.
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