* Add pipeline_id to run and recurring run protos
* Add pipeline_id to run and recurring_run
* Set status when creating a new job. Closes#9125.
* Enable sample tests
* init
* update comment
* fix module file
* clean up
* update to beam sample
* add doc of default bucket
* bump viz server tfma version
* update iris sample to keras native version
* update iris sample to keras native version
* pin TFMA
* add readme
* add to sample test corpus
* add prebuilt && update some config
* sync frontend
* update snapshot
* update snapshot
* fix gettingstarted page
* fix unit test
* fix unit test
* update description
* update some comments
* add some dependencies.
* init.
* add delete op
* Add new transform and analyze op
* Save.
* Partial work
* partial work
* WIP
* Clean up code.
* Disable xgboost cm check for now.
* Update commit SHA
* Update kw arg
* Correct the url format.
* Switch to gcp component for create cluster.
* add secret
* fix create cluster op
* fix path problem
* Move display name
* no op
* Improve
* doc
* Solve
* add back visualization
* fix
* Fix naming
* add back check for cm
* remove todo
* Update readme
* fix naming
* fix flakiness
* Revert "fix flakiness"
This reverts commit 81ba4460
* init.
* add delete op
* Add new transform and analyze op
* Save.
* Partial work
* partial work
* WIP
* Clean up code.
* Disable xgboost cm check for now.
* Update commit SHA
* Update kw arg
* Correct the url format.
* Switch to gcp component for create cluster.
* add secret
* fix create cluster op
* fix path problem
* Move display name
* no op
* Improve
* doc
* Solve
* update sample test launcher.
* Fix component test yaml
* SDK - Client - Added a way to set experiment name using environment variables
This is useful for launching notebooks or pipeline files that submit
themselves for execution.
* Switched to subprocess.run which supports env
* Setting the environment variable differently
Looks like `subprocess.run` uses `PATH` to search for the program.
* Convert return code to string
* Changed the way the experiment name is being set
* Changed how the notebook installs the SDK
Notebook is overriding the SDK that's being tested.
* Not installing the KFP SDK package
* Removed the experiment_name from samples and configs.
* Changed the SDK installation lines in samples
Otherwise the sample tests do not correctly test the new SDK code.
* Add logic to detect extension name.
* Rename notebook samples
* Change to use config yaml for papermill preprocess.
* Remove ad hoc logic
* Remove duplicated logic
* Refactor
* Add run_pipeline flag in config yaml
* Add run pipeline flag for .py sample as well.
* Fix extension name
* Fix
* Fix problems in docstring.
* refactor run_sample_test.py into two functions
* Refactor the procedure into 3 steps
* Fix bug in exit code format
* Remove two redundant functions.
* Clean unused import
* nit
* nit: improve docstring.
* Refactor sample test into digesting params from config yaml files.
* Fix argument assignment.
* Fix path.
* Fix output params. Not every test is using it.
* Add output placeholder in yaml config.
* Fix yaml config.
* Minor fix.
* Minor fix.
* Move timeout info to config.yaml, too
* Fix import in check_notebook_results.py
* Add type hints in config.yaml
* Remove redundant close.
* Remove redundant import.
* Simplify sample_test.yaml by using withItem syntax.
* Simplify sample_test.yaml by using withItem syntax.
* Change dict to str in withItems.
* remove redundant sed options.
* Fix format/style issues
* [WIP] Refactor repeated logic into two utility functions.
* [WIP] Add a utility function to validate the test results from a notebook test.
* [WIP] Refactor test cases (except for notebook sample tests) into adopting utility functions.
TODO: Need to move the functions of run_*_test.py into a unified run_sample_test.py.
* [WIP] Fix a typo in test name and incorporate tfx-cab-classification, kubeflow-training-classification, xgboost-training-cm and basic ones into one run_sample_test.py
* Fix/add some comments.
* Refactor notebook tests into using utility functions
* lint
* Unify naming in sample_test.yaml
* Remove old *_test.py files
* Fix tests by fixing test names.
* Fix string formatting, per Ark-kun's comment.
* Fix names of papermill-generated python notebook.
* Fix tests
* Fix test by fixing experiment names, and test names in yaml.
* Fix test by fixing experiment names.
* Fix dsl type checking test that does not require experiment set-up.
* Remove redundant commands and usage of ipython
* Revert "Remove redundant commands and usage of ipython"
This reverts commit 23a0e014
* Remove redundant string subs and edit an AI.
* Move image name injection to a utility function to improve readability.
* Revert lint changes of check_notebook_results.py
* Unify test case naming convention to underscore.
* Fix .py name
* Fix README.md
* Fix test
* Add TODO items.
* Add a utility function to inject kubeflow_training_classification python sample file.
* Fix redundant cd command.
* Fix indentation.
* Fix test names in component_test.yaml
* Remove redundant clean_cmle_models.py
* Fix nit problem.
* Fix comment.
Chen Sun
gkcalat
Yaqi Ji
Alexey Volkov
Yuan (Bob) Gong
Yuan (Bob) Gong
Jiaxiao Zheng
Alexey Volkov
Ning