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| title: ZenML Breast Cancer Classifier | |
| emoji: 🦀 | |
| colorFrom: purple | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 3.50.2 | |
| app_file: app.py | |
| pinned: false | |
| license: apache-2.0 | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
| # 📜 ZenML Stack Show Case | |
| This project aims to demonstrate the power of stacks. The code in this | |
| project assumes that you have quite a few stacks registered already. | |
| ## default | |
| * `default` Orchestrator | |
| * `default` Artifact Store | |
| ```commandline | |
| zenml stack set default | |
| python run.py --training-pipeline | |
| ``` | |
| ## local-sagemaker-step-operator-stack | |
| * `default` Orchestrator | |
| * `s3` Artifact Store | |
| * `local` Image Builder | |
| * `aws` Container Registry | |
| * `Sagemaker` Step Operator | |
| ```commandline | |
| zenml stack set local-sagemaker-step-operator-stack | |
| zenml integration install aws -y | |
| python run.py --training-pipeline | |
| ``` | |
| ## sagemaker-airflow-stack | |
| * `Airflow` Orchestrator | |
| * `s3` Artifact Store | |
| * `local` Image Builder | |
| * `aws` Container Registry | |
| * `Sagemaker` Step Operator | |
| ```commandline | |
| zenml stack set sagemaker-airflow-stack | |
| zenml integration install airflow -y | |
| pip install apache-airflow-providers-docker apache-airflow~=2.5.0 | |
| zenml stack up | |
| python run.py --training-pipeline | |
| ``` | |
| ## sagemaker-stack | |
| * `Sagemaker` Orchestrator | |
| * `s3` Artifact Store | |
| * `local` Image Builder | |
| * `aws` Container Registry | |
| * `Sagemaker` Step Operator | |
| ```commandline | |
| zenml stack set sagemaker-stack | |
| python run.py --training-pipeline | |
| ``` | |