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Mit den Dataset-Operatoren werden Daten für das Training eines AutoML-Modells in Vertex AI vorbereitet. Weitere Informationen zu bestimmten Dataset-Informationen zum Datentyp finden Sie unter Eigene Modelle trainieren und verwenden. Informationen zum AutoML-Training in Vertex AI finden Sie in der Dokumentation zum AutoML-Training. Informationen zu Google Cloud-Pipelinekomponenten im Zusammenhang mit AutoML-Modellen und -Workflows finden Sie unter Vertex AI AutoML-Komponenten.
Das Google Cloud Pipeline Components SDK enthält folgende Operatoren für die Verwaltung von AutoML-datasetRessourcen:
[[["Leicht verständlich","easyToUnderstand","thumb-up"],["Mein Problem wurde gelöst","solvedMyProblem","thumb-up"],["Sonstiges","otherUp","thumb-up"]],[["Schwer verständlich","hardToUnderstand","thumb-down"],["Informationen oder Beispielcode falsch","incorrectInformationOrSampleCode","thumb-down"],["Benötigte Informationen/Beispiele nicht gefunden","missingTheInformationSamplesINeed","thumb-down"],["Problem mit der Übersetzung","translationIssue","thumb-down"],["Sonstiges","otherDown","thumb-down"]],["Zuletzt aktualisiert: 2024-11-21 (UTC)."],[],[],null,["# Dataset components\n\nThe dataset operators prepare the data for training an AutoML model in\nVertex AI. For more details about specific data type dataset information,\nsee [Train and use your own models](/vertex-ai/docs/training-overview). For information about\nAutoML training in Vertex AI, see the\n[AutoML training documentation](/vertex-ai/docs/training-overview#automl). For information\nabout Google Cloud Pipeline Components related to AutoML models and workflows, see\n[Vertex AI AutoML components](/vertex-ai/docs/pipelines/vertex-automl-component).\n\nThe Google Cloud SDK includes the following operators related to\nAutoML `dataset` resource management:\n\n\n- [`GetVertexDatasetOp`](https://google-cloud-pipeline-components.readthedocs.io/en/google-cloud-pipeline-components-2.19.0/api/v1/dataset.html#v1.dataset.GetVertexDatasetOp)\n- [`ImageDatasetCreateOp`](https://google-cloud-pipeline-components.readthedocs.io/en/google-cloud-pipeline-components-2.19.0/api/v1/dataset.html#v1.dataset.ImageDatasetCreateOp)\n- [`ImageDatasetExportDataOp`](https://google-cloud-pipeline-components.readthedocs.io/en/google-cloud-pipeline-components-2.19.0/api/v1/dataset.html#v1.dataset.ImageDatasetExportDataOp)\n- [`ImageDatasetImportDataOp`](https://google-cloud-pipeline-components.readthedocs.io/en/google-cloud-pipeline-components-2.19.0/api/v1/dataset.html#v1.dataset.ImageDatasetImportDataOp)\n- [`TabularDatasetCreateOp`](https://google-cloud-pipeline-components.readthedocs.io/en/google-cloud-pipeline-components-2.19.0/api/v1/dataset.html#v1.dataset.TabularDatasetCreateOp)\n- [`TabularDatasetExportDataOp`](https://google-cloud-pipeline-components.readthedocs.io/en/google-cloud-pipeline-components-2.19.0/api/v1/dataset.html#v1.dataset.TabularDatasetExportDataOp)\n- [`TextDatasetCreateOp`](https://google-cloud-pipeline-components.readthedocs.io/en/google-cloud-pipeline-components-2.19.0/api/v1/dataset.html#v1.dataset.TextDatasetCreateOp)\n- [`TextDatasetExportDataOp`](https://google-cloud-pipeline-components.readthedocs.io/en/google-cloud-pipeline-components-2.19.0/api/v1/dataset.html#v1.dataset.TextDatasetExportDataOp)\n- [`TextDatasetImportDataOp`](https://google-cloud-pipeline-components.readthedocs.io/en/google-cloud-pipeline-components-2.19.0/api/v1/dataset.html#v1.dataset.TextDatasetImportDataOp)\n- [`TimeSeriesDatasetCreateOp`](https://google-cloud-pipeline-components.readthedocs.io/en/google-cloud-pipeline-components-2.19.0/api/v1/dataset.html#v1.dataset.TimeSeriesDatasetCreateOp)\n- [`TimeSeriesDatasetExportDataOp`](https://google-cloud-pipeline-components.readthedocs.io/en/google-cloud-pipeline-components-2.19.0/api/v1/dataset.html#v1.dataset.TimeSeriesDatasetExportDataOp)\n- [`VideoDatasetCreateOp`](https://google-cloud-pipeline-components.readthedocs.io/en/google-cloud-pipeline-components-2.19.0/api/v1/dataset.html#v1.dataset.VideoDatasetCreateOp)\n- [`VideoDatasetExportDataOp`](https://google-cloud-pipeline-components.readthedocs.io/en/google-cloud-pipeline-components-2.19.0/api/v1/dataset.html#v1.dataset.VideoDatasetExportDataOp)\n- [`VideoDatasetImportDataOp`](https://google-cloud-pipeline-components.readthedocs.io/en/google-cloud-pipeline-components-2.19.0/api/v1/dataset.html#v1.dataset.VideoDatasetImportDataOp)\n\n\u003cbr /\u003e\n\nAPI reference\n-------------\n\n- For dataset component reference, see the\n [Google Cloud SDK reference for Dataset components](https://google-cloud-pipeline-components.readthedocs.io/en/google-cloud-pipeline-components-2.19.0/api/v1/dataset.html).\n\n- For Vertex AI API reference, see the following API reference pages:\n\n - [`Dataset` resource](/vertex-ai/docs/reference/rest/v1/projects.locations.datasets)\n\n - [`TrainingPipeline` resource](/vertex-ai/docs/reference/rest/v1/projects.locations.trainingPipelines)\n\nTutorials\n---------\n\n- [Learn how to use the Google Cloud pipeline components to train an image classification model using Vertex AI AutoML.](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/pipelines/google_cloud_pipeline_components_automl_images.ipynb)\n- [Learn how to use the Google Cloud pipeline components to train a classification model using tabular data and Vertex AI AutoML.](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/pipelines/automl_tabular_classification_beans.ipynb)\n- [Learn how to use the Google Cloud pipeline components to train a linear regression model using tabular data and Vertex AI AutoML.](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/pipelines/google_cloud_pipeline_components_automl_tabular.ipynb)\n- [Learn how to use the Google Cloud pipeline components to train a text classification model using Vertex AI AutoML.](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/pipelines/google_cloud_pipeline_components_automl_text.ipynb)\n- [Learn how to use the Google Cloud pipeline components to upload and deploy a model.](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/pipelines/google_cloud_pipeline_components_model_train_upload_deploy.ipynb)\n\nVersion history and release notes\n---------------------------------\n\nTo learn more about the version history and changes to the Google Cloud Pipeline Components SDK, see the [Google Cloud Pipeline Components SDK Release Notes](https://google-cloud-pipeline-components.readthedocs.io/en/google-cloud-pipeline-components-2.19.0/release.html).\n\n### Technical support contacts\n\nIf you have any questions, reach out to\n[kubeflow-pipelines-components@google.com](mailto: kubeflow-pipelines-components@google.com)."]]
