问在多个数据集上训练Google-Cloud-Automl模型

EN

from typing import List, Union
from google.cloud import aiplatform

    def create_and_import_dataset_image_sample(
        project: str,
        location: str,
        display_name: str,
        src_uris: Union[str, List[str]], // example: ["gs://bucket/file1.csv", "gs://bucket/file2.csv"]
        sync: bool = True,
    ):
        aiplatform.init(project=project, location=location)
    
        ds = aiplatform.ImageDataset.create(
            display_name=display_name,
            gcs_source=src_uris,
            import_schema_uri=aiplatform.schema.dataset.ioformat.image.single_label_classification,
            sync=sync,
        )
    
        ds.wait()
    
        print(ds.display_name)
        print(ds.resource_name)
        return ds