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Refresh of notebook - MLOps stage 1 : data management: get started with Dataflow #350
Refresh of notebook - MLOps stage 1 : data management: get started with Dataflow #350
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Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
/gcbrun |
This script has a dependence with another script (https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/ml_ops/stage1/get_started_bq_datasets.ipynb) in order to access sample BQ data |
/gcbrun |
Verified fix and added minor corrections |
/gcbrun |
@manuelamunategui Looks like a pip install is needed. I think you will want to use the gcp version like this:
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/gcbrun |
We are seeing this failure in the notebook that is related to a version range conflict with
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@@ -0,0 +1,1220 @@ | |||
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@@ -0,0 +1,1220 @@ | |||
{ |
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@@ -0,0 +1,1220 @@ | |||
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there is a locally written file that should be deleted: setup.py.
also, delete the temporary created BQ table
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error log:
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/gcbrun |
/gcbrun |
Step #3: File ~/.local/lib/python3.9/site-packages/pkg_resources/init.py:1622, in DefaultProvider._get(self, path) |
Notebook note compatible with Python 3.9 ( tensorflow-data-validation and tensorflow-transform) |
/gcbrun |
Close this PR as the code has changed and due to incompatibility with Python 3.9 |
This tutorial demonstrates how to use Vertex AI for E2E MLOps on Google Cloud in production. This tutorial covers stage 1 : data management: get started with Dataflow.
# Official Notebooks
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