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base repository: microsoft/MLOpsPython
base: 93791
head repository: microsoft/MLOpsPython
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Commits on Nov 8, 2019
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Commits on Nov 11, 2019
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update conda dependencies (#93)
* update dependencies * cleanup spaces
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Commits on Nov 12, 2019
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Upgrade build train CI pipeline to multi-stage (#90)
* add staged pipeline * remove release id * remove train in release pipeline * revert to BASE_NAME vars * Move train trigger to new stage * cleanup register comments * add conditional for triggering train pipe * update doc steps * string vs boolean * var to boolean * set to false * try with true * cleanup images * Use Coalesce so override works * add back build artifacts * address feedback * include code/scoring path for ci
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Commits on Nov 15, 2019
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Update conda_dependencies (#95)
Adds back old PyPi package to fix the crash loop container for ACI/AKS deployments.
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Commits on Nov 20, 2019
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Commits on Nov 21, 2019
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Commits on Nov 22, 2019
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Commits on Nov 26, 2019
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Commits on Nov 28, 2019
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Commits on Dec 6, 2019
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Commits on Dec 9, 2019
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Commits on Dec 12, 2019
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Commits on Dec 16, 2019
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Commits on Dec 26, 2019
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Commits on Jan 7, 2020
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Commits on Jan 9, 2020
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Fixed assignment bug for build_uri (#133)
If the builduri_base is None, the build_uri would never been instantiated causing an error when calling register_aml_model(model_name, exp, run_id, build_id, build_uri). By adding the else statement, this is prevented.
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Commits on Jan 13, 2020
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Use training data from a managed datasource (#134)
* Data from managed datastore * merge with unassigned variable fix * bugfix * typo * linting * linting * linting * added a link to az cli * doc update * reregistering a dataset * typo * rephrasing * rephrasing * auth enabled * revert auth enabled
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Commits on Jan 22, 2020
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Added notebooks for training and scoring a Diabetes Ridge regression …
…model (#145) * Added notebooks for training and scoring a Ridge regression model with the Diabetes dataset * Fixed joblib import and remove request headers Co-authored-by: David Tesar <david.tesar@microsoft.com>
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Commits on Jan 23, 2020
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Commits on Jan 25, 2020
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Change folder structure to support several training pipelines and mod…
…els (#147) * change folder structure * rename variables file * fix linting * documentation fix * return model name due to a bug in scoring * make PR build working
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Commits on Jan 28, 2020
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Commits on Jan 29, 2020
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added toggle for evaluation step (#152)
# These are the default values set in ml_service\util\env_variables.py. Uncomment and override if desired. RUN_EVALUATION=true ALLOW_RUN_CANCEL=true
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always run the evaluation step (#154)
Set the ci-build-train pipeline to always run the evaluation step (even if the pipeline is cancelled). This will cause the Azure Pipeline to log the reason for cancellation rather than just "silently failing".
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Commits on Jan 30, 2020
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Commits on Jan 31, 2020
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Update diabetes_regression_build_train_pipeline_with_r.py (#167)
Co-authored-by: Eugene Fedorenko <eugene.fedor@gmail.com>
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Manage environments in conda YAML files (#158)
* . * . * Update code_test.py * . * Update Dockerfile * Do not use conda-merge * Move all 3 conda files to a single dir * Do not use conda-merge * Pin package versions * PR review fixes * Update Dockerfile * PR review fixes * Update training_dependencies.yml * Update code_test.py
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Commits on Feb 1, 2020
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Commits on Feb 4, 2020
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Manage AML environments from conda YAML files (#168)
* PR review fixes * Update Dockerfile * . * Update deploy_web_service.py * Update deploy_web_service.py * PR review fixes * PR review fixes * PR review fixes * Update training_dependencies.yml * Linting fixes * Fixed merge * Update code_test.py * Simplified environment management, restored deploy task * Simplified environment management, restored deploy task * Fixed doc for new file path * Added comments Co-authored-by: Sushant Divate <sudivate@microsoft.com>
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Commits on Feb 6, 2020
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Commits on Feb 7, 2020
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Commits on Feb 10, 2020
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Fixed and rearranged unit tests (#184)
* Fixed test_train_model test in code_test.py * Renamed code_test.py to train_test.py * Moved train_test.py under diabetes_regression directory * Moved data_test.py under data directory * Added lint and unit test tasks to azdo-base-pipeline.yml * Deleted lint-and-test.sh and tox.ini * Removed test/unit directory Co-authored-by: David Tesar <david.tesar@microsoft.com>
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Commits on Feb 11, 2020
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Commits on Feb 12, 2020
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Commits on Feb 14, 2020
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Modified to use dataset and pipelinedata (#193)
* Modified to use dataset and pipelinedata * Create diabetes dataset if no dataset specified * Reverted null build_id check * Added MSE tag * Reverted logic for NULL Build ID * Force new model if previous onehas no metric tag * Removed unused DATA variables * Removed unused DATA vars * Updated workaround for non-metric-tagged models * tidied up code
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Commits on Feb 20, 2020
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Getting started refactoring (#197)
* State explicitly the flow order (Template as it is with Diabetes-> Bootstrap with your project code) * Fix “multistage pipeline structure” explanation * Clarify the R approach. It has only the model training. There is no evaluation/registration * Fix the confusion with AzureResourceConnection and WORKSPACE_SVC_CONNECTION * Explain using of a Docker image in the pipeline * Link to bring-your-own-code (Bryan’s) article * Fix broken links (e.g. diabetes_regression-ci-build-train.yml) * Provide ML Service connection screenshot * Explain explicit "diabetes" names. (e.g. The repo contains a sample “diabetes regression” project so here and there all names contain "diabetes") * Clarify the folder structure (Common folders (e.g. .pipelines, ml_service) vs Project folders (e.g. diabetes_regression))
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