ValidationException: The data points should have at least 50 rows for a valid regression or classification task with cv 5.

Question

I am trying to run a autoML model as follows:

automl_settings = {
"n_cross_validations": 5
}

automl_config = AutoMLConfig(task = 'regression',
compute_target = compute_target,
training_data = train_data.filter(train_data['location']==l),
label_column_name = label,
**automl_settings)

remote_run = experiment.submit(automl_config, show_output=True)

And I get: ValidationException: The data points should have at least 50 rows for a valid regression or classification task with cv 5.

The data has more than 250 rows. Moreover, when I changed the cv number, nothing changed. Does anybody have any idea what might be happening?

Answer 1

Hello,

Hope you have solved this issue. If you are still blocked by this, please feel free to let us know. We can either investigate deeper if we can have more details, or we can help you to enable a support ticket if you do not have a support plan. Thanks.

Regards,
Yutong