I want to train a logistic regressor (scikit-learn) using Vertex AI’s Hyperparameter Tuning. I know I can use CategoricalParameterSpec on the different solvers. However, different solvers use different hyperparameters (e.g., lbfgs can only use l2 penalty whereas liblinear can use l1 and l2).

I’m trying to restrict permission to only have access to use the context cache.

I want to setup my Google Cloud VertexAI environment such that if I use more than 1000$ the environment automatically shuts down and prevents me from using it. I am unable to find a quota limit for this.
Does anyone have any suggestions on how to go about doing this ?

Is there a way to use Vertex AI API for text generation using Google cloud service account?

I’m attempting to create a dataset of images using Google Vertex AI’s inbuilt tool on the Google Cloud Platform. However, after selecting images to upload and pressing continue, I receive the following error:

I am using the sample tutorial from GCP Vertex AI API docs:

I would like to implement a feature to determine how much profanity are contained in text string entered by user (if so, I give a warning to user).
Based on what I have searched, I think there could be two ways to achieve this.

I have a model uploaded to Model Registry, which I am successfully deploying to an endpoint with the code below:

Hoping some one can help. I am trying to deploy LORAX on Vertex AI endpoint. The following Docker file is used to build custom container and pushed the built image it to Artifact registry with in GCP project.

I’m looking for a way to upload custom jsonl format for my test-cases in GCP vertex AI managed datasets.
Here’s a sample json structure that I would like to upload