Silly question, but I'm new to Python and Google Cloud. I'm trying to predict customer-lifetime-value with google cloud automl_v1beta1, the code is here
from google.cloud.automl_v1beta1 import AutoMlClient, PredictionServiceClient
from google.cloud_v1beta1 import automl
client = AutoMlClient.from_service_account_file(keyfile_name)
location_path = f"projects/{project_id}/locations/us-central1"
dataset_display_name = automl_dataset
# create dataset
create_dataset_response = client.create_dataset(
parent=location_path,
dataset={'display_name': dataset_display_name, 'tables_dataset_metadata': {}})
and I received the following errors: \
Traceback (most recent call last):
File "/home/tensorflow-lifetime-value/clv_automl/test1.py", line 220, in <module>
main()
File "/home/tensorflow-lifetime-value/clv_automl/test1.py", line 193, in main
model_name = create_automl_model(client,
File "/home/tensorflow-lifetime-value/clv_automl/test1.py", line 48, in
create_automl_model
create_dataset_response = client.create_dataset(
File "/home/.local/lib/python3.9/site-packages/google/cloud/automl_v1/services/auto_ml/client.py", line 623, in create_dataset
request.dataset = dataset
File "/usr/local/lib/python3.9/dist-packages/proto/message.py", line 757, in __setattr__
pb_value = marshal.to_proto(pb_type, value)
File "/usr/local/lib/python3.9/dist-packages/proto/marshal/marshal.py", line 211, in to_proto
pb_value = rule.to_proto(value)
File "/usr/local/lib/python3.9/dist-packages/proto/marshal/rules/message.py", line 36, in to_proto
return self._descriptor(**value)
ValueError: Protocol message Dataset has no "tables_dataset_metadata" field.
I got the same error using your code when I used google-cloud-automl<=0.1.2. Your error will be fixed if you use google-cloud-automl>=0.1.2. But I suggest to always install the latest version by doing pip install --upgrade google-cloud-automl to maximize the latest updates from Google Cloud.