Usage questions relating to Google Cloud Platform's Vertex AI: https://cloud.google.com/vertex-ai/docs
Questions tagged [google-cloud-vertex-ai]
692 questions
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Access information from a previous Kubeflow component
I have a ModelBatchPredictOp component in my pipeline. This component generates 3 artifacts: batchpredictionjob, big_query_table, and gcs_output_directory. The pipeline is running fine.
What I need is a way to access the tableId property of artifact…
Openworld
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3
votes
2 answers
Generate instances and prediction schema files for Vertex AI model evaluation (Google Cloud pipeline components)
I build a custom model and try to use Google Cloud pipeline components for model evaluation on Vertex AI. According to the model_upload_predict_evaluate notebook sample, I need to prepare instance_schema.yaml and prediction_schema.yaml to import…
Amy Wu
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3
votes
1 answer
How do you make vertex ai prediction endpoint access public with simple authentication?
I have created a custom container model on the Google Vertex Ai platform to deploy a model, I have also deployed it to an endpoint,I can access it using bearer token and OAuth 2.0 set up but i was wondering if there is a way to make this prediction…
kunwarvikrant
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1 answer
dataset versioning in vertex AI
I have my machine learning datasets in DVC. It's relatively simple to version the dataset with DVC + git.
Now, as all of the training and deployment have been moved to Vertex AI, I'm trying to version my datasets.
My dataset changes a lot, for…
Zabir Al Nazi
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3
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1 answer
Vertex AI endpoints - dataset creation after every batch prediction
Vertex AI endpoints provide Batch Prediction functionality that is very useful to perform predictions on a large amount of data.
However, every time I make a new batch prediction the endpoint creates a new Dataset inside BigQuery. This is very…
user15064662
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3
votes
1 answer
Vertex AI automatic retraining
I’m trying to create a Vertex AI endpoint with Monitoring enabled that can trigger a Vertex AI pipeline execution when one of the deployed models drops its performance.
However, Vertex AI does not provide any built-in feature to do it.
Is there a…
giuliofort
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3
votes
1 answer
Vertex AI model version using Python SDK
Vertex AI offers a very interesting Model Registry that allows you to store all trained models and track all their versions.
However, I don't manage to create new versions of the same model using the Python SDK. In particular, I have a Vertex AI…
Andrea Cola
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3
votes
1 answer
Vertex AI quota limit error when current usage percentage is zero
In the context of a personal project, Im trying to use Vertex AI to run a TFX pipeline to train a model using custom training, based on this guide. When I run the pipeline I get the…
theeDude
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3
votes
3 answers
Vertax AI pipeline quota
I got a custom_model_training_cpus error when runing a submitted pipeline on Vertex AI. I could not find any documents. And I am using the n1-standard-4 for the deployment machine, I do not see any issue. Any commnents would be much…
FEI XIA
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3
votes
1 answer
Error Code 429 on Vertex AI (Google Cloud Platform)
I'm currently running jobs on Vertex AI and I encountered the following problem :
"error": {
"code": 429,
"message": "The following quota metrics exceed quota limits: aiplatform.googleapis.com/custom_model_training_nvidia_p4_gpus",
…
kellya
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3
votes
2 answers
How does one move python and other types of files from one GCP notebook instance to another?
I have a Vertex AI notebook that contains a lot of python and jupyter notebook as well as pickled data files in it. I need to move these files to another notebook. There isn't a lot of documentation on google's help center.
Has someone had to do…
Jordan
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3
votes
1 answer
How can I change the security setting and enable terminal for a Vertex AI managed notebook?
I created a notebook using Vertex AI without enabling terminal first, but I want to enable terminal now so that I can run a Python file from a terminal. Is there any way I can change the setting retrospectively?
Masa Ashiki
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3
votes
2 answers
VertexAI Tabular AutoML rejecting rows containing nulls
I am trying to build a binary classifier based on a tabular dataset that is rather sparse, but training is failing with the following message:
Training pipeline failed with error message: Too few input rows passed validation. Of 1169548 inputs, 194…
user15318993
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3
votes
1 answer
kubeflow component - why so many ways to define a component and what are the differences?
Please help understand what are the meaningful/significant differences among different ways to create kubeflow pipeline components and the reason for having so many ways?
from kfp.components import func_to_container_op
@func_to_container_op
def…
mon
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2 answers
Authenticate Custom Training Job in Vertex AI with Service Account
I am trying to run a Custom Training Job to deploy my model in Vertex AI directly from a Jupyterlab. This Jupyterlab is instantiated from a Vertex AI Managed Notebook where I already specified the service account.
My aim is to deploy the training…
Megapiro
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