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xgboost_synthetic in 0.7.0 model doesn't deploy #673
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* The test wasn't actually running because we were passing arguments that were unknown to pytest * Remove the old role.yaml; we don't use it anymore * Wait for the Job to finish and properly report status; kubeflow/testing#514 contains the new routine * The test still isn't passing because of kubeflow#673 * In addition we need to fix the auto deployments kubeflow/testing#444 Related to kubeflow#665
I ran into this .. the seldon code specifies https://github.com/SeldonIO/seldon-core/blob/master/python/requirements.txt#L19 |
see here SeldonIO/seldon-core#1023 |
#674) * Fix the xgboost_synthetic test so it actually runs and produces signal * The test wasn't actually running because we were passing arguments that were unknown to pytest * Remove the old role.yaml; we don't use it anymore * Wait for the Job to finish and properly report status; kubeflow/testing#514 contains the new routine * The test still isn't passing because of #673 * In addition we need to fix the auto deployments kubeflow/testing#444 Related to #665 * Fix lint.
I have some in progress changes on my branch: I think this fixes the issues but I need to clean it up and submit a PR. |
* install newer version of fairing * modify preprocessor to use custom dockerfile * use newer 0.7 base image. * Fix endpoint. Related to: kubeflow#673 model doesn't deploy its crash looping Related to kubeflow#655 update example to work with 0.7
#682) * Fix issues with the xgboost_synthetic example and deploying the model. * install newer version of fairing * modify preprocessor to use custom dockerfile * use newer 0.7 base image. * Fix endpoint. Related to: #673 model doesn't deploy its crash looping Related to #655 update example to work with 0.7 * Add some comments to the notebook.
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With 0.7.0 and the xgboost_synthetic example the model doesn't get deployed. The model is crash looping with
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