python (12.9k questions)

javascript (9.2k questions)

reactjs (4.7k questions)

java (4.2k questions)

java (4.2k questions)

c# (3.5k questions)

c# (3.5k questions)

html (3.3k questions)

Questions - google-cloud-vertex-ai

Vertex AI batch prediction location

When I initiate a batch prediction job on Vertex AI of google cloud, I have to specify a cloud storage bucket location. Suppose I provided the bucket location, 'my_bucket/prediction/', then the predic...
test-img

Tarique

google-cloud-platform

google-ai-platform

google-cloud-vertex-ai

Votes: 0

Answers: 2

Latest Answer

Not only with those parameters because and you can run the same job multiple times, new folders based on the execution date will be create, but you can get it from the API using your job id (don't for...
test-img

ewertonvsilva

Creating a Vertex AI Workbench with a Non Organization Account and problems with constraints/compute.vmExternalIpAccess

I'm trying to create a Vertex AI Workbench on GCP, but every time I try I get the following error: <Workbench Name> Constraint constraints/compute.vmExternalIpAccess violated for project <Pro...
test-img

Santiago Cer&#243;n Uribe

google-cloud-platform

workbench

google-cloud-vertex-ai

Votes: 0

Answers: 1

Latest Answer

As mentioned in the comments the recommended solution is to create an Organization. In the linked answer this possible workaround is also mentioned: You can also try using the --no-address flag expli...
test-img

Dennis Jaheruddin

Specifying Machine Type in Vertex AI Pipeline

I have a pipeline component defined like this: data_task = run_ssd_data_op( labels_path=input_labels, data_config=config_task.outputs["output_data_config"], training_...
test-img

James

google-cloud-platform

kubeflow

google-cloud-vertex-ai

Votes: 0

Answers: 1

Latest Answer

The machine type is defined by the amount of CPU and memory on it for example the type n1-highmem-32 has 32vCPUs and minimum 208GB of ram. In general the Vertex AI will allocate a machine automaticall...
test-img

ewertonvsilva

Batch prediction Input

I have a tensorflow model deployed on Vertex AI of Google Cloud. The model definition is: item_model = tf.keras.Sequential([ tf.keras.layers.StringLookup( vocabulary=item_vocab, mask_token=Non...
test-img

Tarique

google-cloud-platform

google-ai-platform

google-cloud-vertex-ai

Votes: 0

Answers: 1

Latest Answer

After a bit of experimenting, I found out what was wrong with the batch prediction input. In the csv file, the item column was being interpreted as an integer whereas the model has a string as an inpu...
test-img

Tarique

Posts

Questions

Blogs

Jobs