Improve TFX Taxi Sample and Components. #518
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- Confusion matrix and ROC components support flexible target. - Use single mode instead of 4 different modes for TFDV, TFMA, TFT, Predicton. - TFDV output's schema path directly. - Add Confusion Matrix and ROC components to tf taxi sample.
hongye-sun
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Dec 11, 2018
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/lgtm |
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/approve |
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neuromage
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Dec 22, 2018
* Improve TFX Taxi Sample and Components. - Confusion matrix and ROC components support flexible target. - Use single mode instead of 4 different modes for TFDV, TFMA, TFT, Predicton. - TFDV output's schema path directly. - Add Confusion Matrix and ROC components to tf taxi sample. * Follow up code review comments.
Linchin
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Apr 11, 2023
* Tooling to setup multiple instances of Kubeflow in codelab test projects. * Create a Kubeflow cluster where the K8s jobs to do deployment will run. * Modify create_unique_kf_instance.py to support using a kfctl binary to deploy Kubeflow as opposed to building from source * bulk_deploy.py contains the code to create a bunch of kubeflow deployments 1 per project given by a csv file * Add a utility function to wait for all K8s jobs with a given label to finish * codelabs/codelab-admin contains the KFApp for the kubeflow cluster * Fix lint. * * Add more description of CSV format * Refactor code into function. * Remove owners file its blocking prow.
magdalenakuhn17
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Oct 22, 2023
* fix blob breaking change * make pylint happy * add numpy version
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