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GCP #114
GCP #114
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Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 1.5.0 to 1.12.2. - [Release notes](https://github.com/tensorflow/tensorflow/releases) - [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md) - [Commits](tensorflow/tensorflow@v1.5.0...v1.12.2) Signed-off-by: dependabot[bot] <[email protected]>
Bumps [flask](https://github.com/pallets/flask) from 0.12.3 to 1.0. - [Release notes](https://github.com/pallets/flask/releases) - [Changelog](https://github.com/pallets/flask/blob/master/CHANGES.rst) - [Commits](pallets/flask@0.12.3...1.0) Signed-off-by: dependabot[bot] <[email protected]>
Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 1.4.1 to 1.12.2. - [Release notes](https://github.com/tensorflow/tensorflow/releases) - [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md) - [Commits](tensorflow/tensorflow@v1.4.1...v1.12.2) Signed-off-by: dependabot[bot] <[email protected]>
…rst-training/tensorflow-1.12.2 Bump tensorflow from 1.4.1 to 1.12.2 in /gce/burst-training
…als/sklearn/gae_serve/flask-1.0 Bump flask from 0.12.3 to 1.0 in /tutorials/sklearn/gae_serve
…als/sklearn/titanic/tensorflow-1.12.2 Bump tensorflow from 1.5.0 to 1.12.2 in /tutorials/sklearn/titanic
R on GCP Tutorials
…po, introduce pipe
Fix the Readme of the mlflow_gcp tutorial (duplicate, typos)
update gae_serve readme
Adding updated notebook for "Exploratory Data Analysis with R and BigQuery" tutorial
Notebook revisions based on review of accompanying solution guide
Updated a couple lines of markdown to clarify the tasks at hand
Update explanation notebooks
Adds notice that these samples are moving to ai-platform-samples. We will leave the older versions here to avoid broken links. TODO: add that notice to the top of each notebook file; copy the latest update from here to ai-platform-samples.
Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
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Migrate to google-cloud-monitoring 2.0
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@@ -2,4 +2,4 @@ numpy==1.14.0
pandas==0.22.0
scikit-learn==0.19.1
scipy==1.0.0
tensorflow==1.5.0
tensorflow==1.12.2