I've encountered an error when trying to run AutoML on the full dataset in chapter 11. My training data is in place, and I'm using the following command as per the textbook:
2023-02-22 17:40:27.579468: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory
2023-02-22 17:40:27.579513: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
INFO:root:Training on []
Traceback (most recent call last):
File "/home/jgammerman/data-science-on-gcp/11_realtime/train_on_vertexai.py", line 321, in <module>
main()
File "/home/jgammerman/data-science-on-gcp/11_realtime/train_on_vertexai.py", line 196, in main
data_set = aiplatform.TabularDataset.create(
File "/home/jgammerman/.local/lib/python3.9/site-packages/google/cloud/aiplatform/datasets/tabular_dataset.py", line 128, in create
datasource = _datasources.create_datasource(
File "/home/jgammerman/.local/lib/python3.9/site-packages/google/cloud/aiplatform/datasets/_datasources.py", line 224, in create_datasource
return TabularDatasource(gcs_source, bq_source)
File "/home/jgammerman/.local/lib/python3.9/site-packages/google/cloud/aiplatform/datasets/_datasources.py", line 86, in __init__
raise ValueError("One of gcs_source or bq_source must be set.")
ValueError: One of gcs_source or bq_source must be set.
Hi,
I've encountered an error when trying to run AutoML on the full dataset in chapter 11. My training data is in place, and I'm using the following command as per the textbook:
python3 train_on_vertexai.py --automl --project $PROJECT --bucket $BUCKET --region $REGION
My error is as follows:
Where do I set
gcs_source
orbq_source
?