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Simpan dan kategorikan konten berdasarkan preferensi Anda.
Operator set data menyiapkan data untuk melatih model AutoML di
Vertex AI. Untuk mengetahui detail selengkapnya tentang informasi set data jenis data tertentu,
lihat Melatih dan menggunakan model Anda sendiri. Untuk mengetahui informasi tentang
pelatihan AutoML di Vertex AI, lihat
dokumentasi pelatihan AutoML. Untuk mengetahui informasi tentang Komponen Pipeline yang terkait dengan model dan alur kerja AutoML, lihat Komponen Vertex AI AutoML. Google Cloud
Google Cloud SDK mencakup operator berikut yang terkait dengan
pengelolaan resource dataset AutoML:
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-09-04 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)."]]
