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Original file line number | Diff line number | Diff line change |
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@@ -8,7 +8,7 @@ In order to use AutoMLOps, the following are required: | |
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- Jupyter (or Jupyter-compatible) notebook environment | ||
- [Notebooks API](https://console.cloud.google.com/marketplace/product/google/notebooks.googleapis.com) enabled | ||
- Python 3.0 - 3.10 | ||
- Python 3.7 - 3.10 | ||
- [Google Cloud SDK 407.0.0](https://cloud.google.com/sdk/gcloud/reference) | ||
- [beta 2022.10.21](https://cloud.google.com/sdk/gcloud/reference/beta) | ||
- `git` installed | ||
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@@ -25,9 +25,9 @@ gcloud config set account <[email protected]> | |
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# Install | ||
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Clone the repo and install either via setup.py or wheel (wheel requires less processing): | ||
- setup.py: `pip install .` | ||
- wheel: `pip install dist/AutoMLOps-1.0.2-py2.py3-none-any.whl` | ||
Install AutoMLOps from [PyPI](https://pypi.org/project/google-cloud-automlops/): `pip install google-cloud-automlops` | ||
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Or Install locally by cloning the repo and running `pip install .` | ||
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# Dependencies | ||
- `autoflake==2.0.0`, | ||
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@@ -203,7 +203,6 @@ The [example notebook](example/automlops_example_notebook.ipynb) comes with 3 co | |
- [Google Cloud Pipeline Components](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/pipelines/custom_model_training_and_batch_prediction.ipynb) | ||
# Next Steps / Backlog | ||
- PyPI | ||
- Refine unit tests | ||
- Use [terraform](https://github.com/GoogleCloudPlatform/vertex-pipelines-end-to-end-samples/tree/main/terraform) for the creation of resources. | ||
- Allow multiple AutoMLOps pipelines within the same directory | ||
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