Category "google-cloud-vertex-ai"

How can I use a ML model trained with Google Vertex AI with scikit learn?

I have a problem with Vertex AI. I have trained a model using the API for Vertex AI in Python. After the training, I want to retrieve the model and use it as a

Alter JSON file in CLOUD SHELL Terminal

this is my file : $ cat INPUT-JSON {"endpointId": "1411183591831896064", "instance": "[{age: 40.77430558, ClientID: '997', income: 44964.0106, loan: 3944.219318

Vertex AI Custom Training Job Container not finding my module: Error while finding module for '...' (ModuleNotFoundError: No module named '...')

I have a PyTorch training job that I am packaging in a Python software distribution (.tar.gz file). I upload the sdist to a GCS bucket and run it in a container

Google Cloud Platform - Vertex AI training with custom data format

I need to train a custom OCR in vertex AI. My data with have folder of cropped image, each image is a line, and a csv file with 2 columns: image name and text i

Return confidence score with custom model for Vertex AI batch predictions

I uploaded a pretrained scikit learn classification model to Vertex AI and ran a batch prediction on 5 samples. It just returned a list of false predictions wit

Upload tensorboard logs from cloud storage to vertex ai - tensorboard

I created a pipeline with vertex ai and added the code for creating and storing my tensorboard logs in cloud storage. The next step in the instructions here htt

Use google cloud aiplatform with golang

I have a vertex AI modele deployed on an endpoint and want to do some prediction from my app in golang. To do this I create code inspired by this exemple : http

GCP Vertex Pipeline - Why kfp.v2.dsl.Output as function arguments work without being provided?

Why kfp.v2.dsl.Output as function argument works without being provided? I am following Create and run ML pipelines with Vertex Pipelines! Jupyter notebook exa

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