Comments (2)
The variables file should be updated with unique values. The ones given here are for example. We will have the readme file updated accordingly. Please try and let us know.
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I changed the name_prefix to my name in terraform.tfvars and it worked, thank you so much for the help @suddhasatwabhaumik
from mlops-with-vertex-ai.
Related Issues (20)
- 02-Experimentation: Create classifier fails w/layer requires matching shapes HOT 3
- Upgrade to TFX 1.4 and TensorFlow 2.7
- Error: 02 - ML Experimentation with Custom Model HOT 1
- Model Versioning using Vertex AI Model HOT 2
- Error while creating model HOT 1
- Missing gcloud command or terraform code to create cloud build triggers
- Unit test for pipeline in Vertex AI HOT 1
- module 'tfx.dsl.components' has no attribute 'common'
- `Concatenate` layer requires inputs with matching shapes HOT 1
- Python IndexError execution error in 03-training-formalization.ipynb HOT 1
- Python markupsafe dependency error in 03-training-formalization.ipynb
- In Vertex AI creating Tensorboard instance will drain out all the credits
- Error: in experimentation.ipynb, getting error from get_training_source_query function as list out of range and gca_resource not available. HOT 5
- Version an already trained custom model on Model Registry
- Getting started instructions fail at "sudo apt-get install google-cloud-sdk" HOT 6
- 01-dataset-management.ipynb fails at "Create Vertex Dataset resource" with "no attribute 'SUPPORTED_REGIONS'"
- Explainability doesn't work
- Add Hyperparameter tuning HOT 1
- Access Denied in BQ
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