Пример #1
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def _create_tables_dataset(args):
    file_source = args.get("fileSource")
    if file_source:
        AutoMLService.get().create_dataset_from_file(
            display_name=args["displayName"],
            file_name=file_source["name"],
            file_data=file_source["data"])
    else:
        AutoMLService.get().create_dataset(
            display_name=args["displayName"],
            gcs_uri=args.get("gcsSource"),
            bigquery_uri=args.get("bigquerySource"))
    return {"success": True}
Пример #2
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def _delete_model(args):
    AutoMLService.get().client.delete_model(args["modelId"])
    return {"success": True}
Пример #3
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def _delete_dataset(args):
    AutoMLService.get().client.delete_dataset(args["datasetId"])
    return {"success": True}
Пример #4
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def _table_info(args):
    return AutoMLService.get().get_table_specs(args["datasetId"])
Пример #5
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def _list_models(args):
    return AutoMLService.get().get_models()
Пример #6
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def _list_datasets(args):
    return AutoMLService.get().get_datasets()
Пример #7
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def _get_pipeline(args):
    return AutoMLService.get().get_pipeline(args["pipelineId"])
Пример #8
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def _list_model_evaluations(args):
    return AutoMLService.get().get_model_evaluation(args["modelId"])