Граф коммитов

96 Коммитов

Автор SHA1 Сообщение Дата
hakotesova 76e6b2cabc
update actions/upload-artifact@v2 to actions/upload-artifact@v3 becau… (#3378)
* update actions/upload-artifact@v2 to actions/upload-artifact@v4 because v2 has been deprecated

* update actions/upload-artifact to v3 to buy us more time

* revert generative-ai docx
2024-09-12 13:11:30 -04:00
Prashant Dhote 808f88c67c
update pip version in conda file (#3295) 2024-08-16 10:58:09 +05:30
jeff-shepherd 07a31fcc01
Upgrade pytorch 1.13 to 2.2 (#3350) 2024-08-15 15:50:44 -07:00
kdestin ce99aa8908
fix(ci): Add workaround to circumvent azure-cli's lack of support for ID token refresh (#3328)
* fix: Eagerly request token scopes

* chore: Regenerate workflows to pick up token caching change
2024-08-12 14:48:51 -04:00
jeff-shepherd 7060507567
Upgrade to sklean-1.5 (#3303) 2024-07-23 14:04:20 -07:00
jeff-shepherd 70f0ddd0cf
Upgraded to sklearn-1.5 (#3300) 2024-07-19 11:44:25 -07:00
kdestin 9be775a2f5
chore: Use OIDC to authenticate to Azure in Github Actions (#3253)
* chore: Use federated credential in readme.py

* chore: Update cli workflows to use federated credentials

* chore: Update tutorial workflows to use federated credentials

* chore: Update sdk workflows to use federated credentials

* chore: Normalize line-ending for sdk-foundation-models-azure_openai-oai-v1-openai_completions_finetune.yml

* chore: Use federated credentials in sdk-foundation-models-azure_openai-oai-v1-openai_completions_finetune.yml

* chore: Update remaining workflows to use federated credentials
2024-06-19 16:55:28 -04:00
jeff-shepherd 35455af3c8
Updated mlflow and scikit-learn (#3130)
* Updated mlflow and scikit-learn

* Changed to use latest sklearn 1.0 curated environment

* Update Pytorch environment
2024-04-29 18:20:54 -07:00
Xingzhi Zhang cbe2b16002
sample: upgrade curated environment (#3059)
* sample: upgrade curated environment

* switch to latest

* feat: also update usage of azureml:azureml-sklearn-1.0

* fix: avoid using potentially private input data

* fix: unzip downloaded data

* sample: switch to a azure blob

* fix: black

* fix: 2 samples with broken format

* fix: update component version

* revert: revert failing changes to handle in separate PR
2024-03-28 13:38:03 +08:00
Mope Akande db660f0eb7
Freshness updates to deploy-model.ipynb (#3036) 2024-03-13 16:40:29 -05:00
Diondra cec9cbb5ee
Add readme check (#2955)
* Add script to check README.md and README template

* Refactor check-readme.sh and add messages

* Add step to cli-assets-component-pipeline workflow to test

* Update workflow

* Update workflow

* Fix syntax error

* Update action

* Fix typo

* Add exclusion logic

* Try adding readme validation to readme.py

* Update workflows with readme.py

* Update workflows with readme.py

* Update workflows with readme.py

* Update workflows with readme.py

* Fix github workspace variable

* Fix github workspace variables for exclusion check

* Fix exclusion logic

* Update readme exclusions

* Revert accidental change

* Update readme_exclusions.txt

* Revert accidental change to working directory

* Update check-readme.sh

* Update exclusion logic and file name

* Add debug message

* Update exclusion logic and file name

* FIx working directory file names

* Update exclusion logic and file name

* Add debugging statements

* Remove debugging statements

* Update readme.py and regenerate cli workflows

* Update working-directory

* Update readme to add validate readme to sdk workflows

* Move templates folder inside infra

* Add validate readme check to tutorials and sdk/python files

* Fix readme.py and revert unintended changes

* Revert unnecessary changes and update readme_validation_exclusions.txt

* Update exclusions list

* Update template

* Update readme_validation_exclusions.txt

* Update exclusions

* Replace check-readme.sh with check-readme.py

* Update readme template

* Update check-readme.py with Kevin's suggestions

* Remove 2nd CLI argument

* Add debugging messages

* Add debugging messages

* Add debugging messages

* Update debugging messages

* Update debugging messages

* Strip whitespace

* Convert sample path to string

* Fix exclusions

* Remove debugging messages

* re-format with black

* Manually update one sample with logging logic to test

* Regenerate resolved notebooks

* Remove appinsights logging step

* Exclude /home/runner/work/azureml-examples/azureml-examples/cli/jobs/automl-standalone-jobs/cli-automl-forecasting-task-github-dau

* Revert changes to notebooks

* Add whitespace back
2024-01-30 11:45:35 -08:00
Diondra 1e212cda6a
Revert "Add readme validation step" (#2951) 2024-01-12 15:13:46 -08:00
Diondra a8431e1b9c
Add readme validation step (#2748)
* Add script to check README.md and README template

* Refactor check-readme.sh and add messages

* Add step to cli-assets-component-pipeline workflow to test

* Update workflow

* Update workflow

* Fix syntax error

* Update action

* Fix typo

* Add exclusion logic

* Try adding readme validation to readme.py

* Update workflows with readme.py

* Update workflows with readme.py

* Update workflows with readme.py

* Update workflows with readme.py

* Fix github workspace variable

* Fix github workspace variables for exclusion check

* Fix exclusion logic

* Update readme exclusions

* Revert accidental change

* Update readme_exclusions.txt

* Revert accidental change to working directory

* Update check-readme.sh

* Update exclusion logic and file name

* Add debug message

* Update exclusion logic and file name

* FIx working directory file names

* Update exclusion logic and file name

* Add debugging statements

* Remove debugging statements

* Update readme.py and regenerate cli workflows

* Update working-directory

* Update readme to add validate readme to sdk workflows

* Move templates folder inside infra

* Add validate readme check to tutorials and sdk/python files

* Fix readme.py and revert unintended changes

* Revert unnecessary changes and update readme_validation_exclusions.txt

* Update exclusions list

* Update template

* Update readme_validation_exclusions.txt

* Update exclusions

* Replace check-readme.sh with check-readme.py

* Update readme template

* Update check-readme.py with Kevin's suggestions

* Remove 2nd CLI argument

* Add debugging messages

* Add debugging messages

* Add debugging messages

* Update debugging messages

* Update debugging messages

* Strip whitespace

* Convert sample path to string

* Fix exclusions

* Remove debugging messages

* re-format with black

* Manually update one sample with logging logic to test

* Regenerate resolved notebooks

* Remove appinsights logging step

* Exclude /home/runner/work/azureml-examples/azureml-examples/cli/jobs/automl-standalone-jobs/cli-automl-forecasting-task-github-dau
2024-01-12 15:36:15 -05:00
lebaro-msft c00d224768
Update workstation_env.yml (#2870)
Update workstation_env.yml to fix mlflow version issue
2023-11-28 15:38:25 -06:00
Sheri Gilley da3ceab686
update env versions and image (#2838) 2023-11-16 11:25:57 -06:00
Sheri Gilley 1ad4a1292b
update for serverless compute (#2830)
* update for serverless compute

* run black
2023-11-14 09:10:02 -06:00
Sheri Gilley 815379d74c
Update train-model.ipynb (#2744)
update package versions for mlflow and azureml-mlflow
2023-10-17 17:18:40 -05:00
Sheri Gilley 696eb99db4
Update workstation_env.yml (#2681)
delete extraneous space
2023-09-27 10:02:18 -05:00
Sheri Gilley aee8bfe5bf
Update workstation_env.yml (#2680) 2023-09-26 15:59:57 -05:00
kdestin 6781926b2e
chore: Remove 'Send IcM on Failure' step from tutorial workflows (#2670)
* chore: Remove 'Send IcM on Failure' step that hasn't been in use for a while

* chore: Run tutorials/readme.py

* chore: Remove unused local 'generate-icm' action
2023-09-25 23:02:57 -04:00
Sheri Gilley 5ee8561cc2
Sdg pipeline (#2496)
* revise pipeline & data notebooks

* wording

* fix error when data version exists

* reformat

* fix cli files to pass smoke test
2023-07-27 13:36:39 -05:00
eniac871 17c72c94f4
replace the public data source to a public Azure blob one (#2500)
* replace the public data source to a public Azure blob one, to solve mount/download issue

* update pipeline registered data asset name to resolve conflict

* update e2e flow with same data asset register meta

* update file name to csv, which is the actual exist one

* update code and environment

* bump custom env version

---------

Co-authored-by: Anthony Hu <anthu@microsoft.com>
2023-07-27 16:06:35 +08:00
vijetajo 67777f0c46
Update quickstart.ipynb (#2457)
* Update quickstart.ipynb

* Update quickstart.ipynb

* Update quickstart.ipynb

* Update quickstart.ipynb

* Update quickstart.ipynb

* Update train-model.ipynb

* Update train-model.ipynb

* Update train-model.ipynb

* Update train-model.ipynb

* Update quickstart.ipynb

* Update train-model.ipynb

* Update pipeline.ipynb

* Update pipeline.ipynb

* Update pipeline.ipynb

* Update quickstart.ipynb

* Update train-model.ipynb

* Update quickstart.ipynb

* Update pipeline.ipynb

* Update train-model.ipynb

* Update train-model.ipynb

* Update quickstart.ipynb

* Update train-model.ipynb

* Update quickstart.ipynb

* Update train-model.ipynb

* Update e2e-object-classification-distributed-pytorch.ipynb

* Update e2e-object-classification-distributed-pytorch.ipynb

* Update e2e-object-classification-distributed-pytorch.ipynb

* Update e2e-object-classification-distributed-pytorch.ipynb

* Update e2e-object-classification-distributed-pytorch.ipynb

* Update e2e-object-classification-distributed-pytorch.ipynb

* Update e2e-object-classification-distributed-pytorch.ipynb

* Update e2e-object-classification-distributed-pytorch.ipynb

* Update e2e-object-classification-distributed-pytorch.ipynb

* Update e2e-object-classification-distributed-pytorch.ipynb

* Update e2e-object-classification-distributed-pytorch.ipynb

* Update e2e-object-classification-distributed-pytorch.ipynb

* Update e2e-object-classification-distributed-pytorch.ipynb

* Update e2e-object-classification-distributed-pytorch.ipynb

* Update e2e-object-classification-distributed-pytorch.ipynb

* Update pipeline.ipynb

* Update sklearn-diabetes.ipynb

* Update sklearn-diabetes.ipynb

* Update sklearn-diabetes.ipynb

* Update iris-scikit-learn.ipynb

* Update iris-scikit-learn.ipynb

* Update sklearn-diabetes.ipynb

* Update sklearn-mnist.ipynb

* Update debug-and-monitor.ipynb

* Update distributed-cifar10.ipynb

* Update distributed-cifar10.ipynb

* Update distributed-cifar10.ipynb

* Update distributed-cifar10.ipynb

* Update distributed-cifar10.ipynb

* Update objectdetectionAzureML.ipynb

* Update distributed-cifar10.ipynb

* Update pytorch-iris.ipynb

* Update tensorflow-mnist.ipynb

* Update tensorflow-mnist.ipynb

* Update tensorflow-mnist.ipynb

* Update debug-and-monitor.ipynb

* Update objectdetectionAzureML.ipynb

* Update distributed-cifar10.ipynb

* Update pytorch-iris.ipynb

* Update sklearn-diabetes.ipynb

* Update iris-scikit-learn.ipynb

* Update sklearn-mnist.ipynb

* Update tensorflow-mnist.ipynb

* Update distributed-cifar10.ipynb

* Update objectdetectionAzureML.ipynb

* Update tensorflow-mnist.ipynb

* Update tensorflow-mnist.ipynb

* Update e2e-object-classification-distributed-pytorch.ipynb

* Update distributed-cifar10.ipynb

* Update objectdetectionAzureML.ipynb

* Update tensorflow-mnist.ipynb

* Update automl-forecasting-recipe-univariate-run.ipynb

* Update automl-forecasting-recipe-univariate-run.ipynb

* Update automl-forecasting-recipe-univariate-run.ipynb

* Update automl-forecasting-recipe-univariate-run.ipynb

* Update automl-forecasting-recipe-univariate-run.ipynb

* Update automl-forecasting-recipe-univariate-run.ipynb

* Update automl-forecasting-recipe-univariate-run.ipynb

* Update automl-forecasting-recipe-univariate-run.ipynb

* Update automl-forecasting-recipe-univariate-run.ipynb

* Update automl-forecasting-recipe-univariate-run.ipynb

* Update tensorflow-mnist.ipynb

* Update e2e-object-classification-distributed-pytorch.ipynb

* Update auto-ml-forecasting-bike-share.ipynb

* Update auto-ml-forecasting-github-dau.ipynb

* Update auto-ml-forecasting-github-dau.ipynb

* Update automl-classification-task-bankmarketing-serverless.ipynb

* Update automl-forecasting-orange-juice-sales-mlflow.ipynb

* Update azureml-getting-started-studio.ipynb

* Update automl-regression-task-hardware-performance.ipynb

* Update automl-regression-task-hardware-performance.ipynb

* Update automl-nlp-text-ner-task.ipynb

* Update automl-nlp-text-ner-task.ipynb

* Update automl-nlp-text-ner-task.ipynb

* Update automl-nlp-text-ner-task.ipynb

* Update automl-nlp-multiclass-sentiment-mlflow.ipynb

* Update automl-nlp-multiclass-sentiment-mlflow.ipynb

* Update automl-nlp-multiclass-sentiment-mlflow.ipynb

* Update automl-nlp-multiclass-sentiment-mlflow.ipynb

* Update automl-nlp-multiclass-sentiment.ipynb

* Update automl-nlp-multilabel-paper-cat.ipynb

* Update automl-forecasting-task-energy-demand-advanced.ipynb

* Update automl-nlp-multiclass-sentiment-mlflow.ipynb

* Update automl-nlp-multilabel-paper-cat.ipynb

* Update automl-nlp-text-ner-task.ipynb

* Update automl-nlp-multiclass-sentiment-mlflow.ipynb

* Update automl-nlp-multiclass-sentiment.ipynb

* Update automl-nlp-multilabel-paper-cat.ipynb

* Update automl-nlp-text-ner-task.ipynb
2023-07-22 05:49:07 +05:30
jeff-shepherd df7837c1e0
Switched to new GPU SKU because NC6 is deprecated (#2462)
* Switched to new GPU SKU because NC6 is deprecated

* Updated credentials for remaining V1 notebooks

* Updated gpu-cluster in bootstrap.sh
2023-07-18 16:51:47 -07:00
vijetajo 867d4c2ba8
serverless samples (#2260)
* serverless samples

* Update cli-automl-classification-task-bankmarketing-serverless.yml

* Create automl-classification-task-bankmarketing-serverless.ipynb

* Update automl-classification-task-bankmarketing-serverless.ipynb

* Update automl-classification-task-bankmarketing-serverless.ipynb

* Update automl-classification-task-bankmarketing-serverless.ipynb

* Update automl-classification-task-bankmarketing-serverless.ipynb

* Create pipeline-serverless.yml

* Create pipeline_with_components_from_yaml_serverless.ipynb

* Update pipeline_with_components_from_yaml_serverless.ipynb

* Update pipeline_with_components_from_yaml_serverless.ipynb

* add metadata to notebook cell

* Update azureml-in-a-day.ipynb

* Update azureml-in-a-day.ipynb

* Update azureml-in-a-day.ipynb

* Update e2e-ml-workflow.ipynb

* Update e2e-ml-workflow.ipynb

* Update quickstart.ipynb

* Update quickstart.ipynb

* Update quickstart.ipynb

* Update quickstart.ipynb

* Update quickstart.ipynb

* Update quickstart.ipynb

* Update quickstart.ipynb

* Update train-model.ipynb

* Update train-model.ipynb

* Update train-model.ipynb

* Update pipeline.ipynb

* Update pipeline.ipynb

* Update pipeline.ipynb

* Update quickstart.ipynb

* Update pipeline.ipynb

* Update pipeline.ipynb

* Update quickstart.ipynb

* Update train-model.ipynb

* Update train-model.ipynb

* Update train-model.ipynb

* Update cli-automl-classification-task-bankmarketing-serverless.yml

* Update pipeline-serverless.yml

* Update hello-code.yml

* Update hello-data-uri-folder.yml

* Update hello-dataset.yml

* Update hello-git.yml

* Update hello-interactive.yml

* Update hello-iris-datastore-file.yml

* Update hello-iris-datastore-folder.yml

* Update hello-iris-file.yml

* Update hello-iris-folder.yml

* Update hello-iris-literal.yml

* Update hello-mlflow.yml

* Update hello-model-as-input.yml

* Update hello-model-as-output.yml

* Update hello-notebook.yml

* Create hello-pipeline-abc-serverless.yml

* Update hello-pipeline-abc-serverless.yml

* Create hello-pipeline-customize-output-file-serverless.yml

* Update hello-pipeline-customize-output-file-serverless.yml

* Create hello-pipeline-customize-output-folder-serverless.yml

* Update hello-pipeline-customize-output-file-serverless.yml

* Update hello-pipeline-customize-output-folder-serverless.yml

* Create hello-pipeline-default-artifacts-serverless.yml

* Update hello-pipeline-default-artifacts-serverless.yml

* Update hello-pipeline-default-artifacts-serverless.yml

* Create hello-pipeline-io-serverless.yml

* Update hello-pipeline-io-serverless.yml

* Create hello-pipeline-settings-serverless.yml

* Update hello-pipeline-settings-serverless.yml

* Create hello-pipeline-serverless.yml

* Update hello-pipeline-serverless.yml

* Update hello-pipeline-serverless.yml

* Update hello-world.yml

* Update hello-world-output.yml

* Update hello-world-output-data.yml

* Update hello-world-org.yml

* Update hello-world-input.yml

* Update hello-world-env-var.yml

* Update automl-classification-task-bankmarketing-serverless.ipynb

* Update automl-classification-task-bankmarketing-serverless.ipynb

* Update automl-classification-task-bankmarketing-serverless.ipynb

* Update cli-automl-classification-task-bankmarketing-serverless.yml

* Update auto-ml-forecasting-github-dau.ipynb

* Update auto-ml-forecasting-github-dau.ipynb

* Update auto-ml-forecasting-github-dau.ipynb

* Update auto-ml-forecasting-github-dau.ipynb

* Update auto-ml-forecasting-github-dau.ipynb

* Update auto-ml-forecasting-github-dau.ipynb

* Update cli-automl-forecasting-task-github-dau.yml

* Update cli-automl-forecasting-orange-juice-sales.yml

* Update automl-forecasting-orange-juice-sales-mlflow.ipynb

* Update automl-forecasting-orange-juice-sales-mlflow.ipynb

* Update automl-forecasting-orange-juice-sales-mlflow.ipynb

* Update automl-forecasting-orange-juice-sales-mlflow.ipynb

* Update automl-forecasting-orange-juice-sales-mlflow.ipynb

* Update automl-forecasting-orange-juice-sales-mlflow.ipynb

* Update automl-forecasting-orange-juice-sales-mlflow.ipynb

* Update hello-sweep.yml

* Update train-model.ipynb

* Update e2e-ml-workflow.ipynb

* Update hello-automl-job-basic.yml

* Update auto-ml-forecasting-github-dau.ipynb

* Update auto-ml-forecasting-github-dau.ipynb

* Update automl-forecasting-orange-juice-sales-mlflow.ipynb

* Update quickstart.ipynb

* Update train-model.ipynb

* Update pipeline.ipynb

* Update auto-ml-forecasting-github-dau.ipynb

* Update auto-ml-forecasting-github-dau.ipynb

---------

Co-authored-by: Sheri Gilley <sgilley@microsoft.com>
2023-06-21 14:30:03 -07:00
Sheri Gilley 7b9e3f18de
modify schedule for deploy-model, not explore-data (#2332) 2023-05-26 14:15:22 -05:00
kdestin f87d6591d5
refactor: Reorganize infra folder (#2328)
* refactor: Move infra scripts to subdir

* refactor: Rewrite paths in sdk_helpers.sh

* refactor: Update ROOT_DIR

* refactor: Update paths in workflow generators

* refactor: Update path in doc comment

* refactor: Update workflows

* fix: Fix incorrect script path
2023-05-24 15:56:58 -04:00
Sheri Gilley e04422f2a9
add comments about quota to code cells (#2322)
* add comments about quota to code

* run black

* add more comments
2023-05-23 08:50:13 -05:00
Vivian Li 37c3572b3c Rename conda.yml to conda.yaml (#2206)
* Rename conda.yml to conda.yaml

* Re-ran sdk/python/readme.py to update workflows
2023-04-17 13:43:10 -07:00
Sheri Gilley 303957a3ad remove experiment_name (#2154)
* remove experiment_name

* remove bullet
2023-03-28 09:48:40 -05:00
Sheri Gilley 14ab3c78a8 metadata and md updates (#2150) 2023-03-23 17:33:07 -05:00
nancy-mejia a1f1b852ee Update deploy-model notebook (#2149)
Co-authored-by: nancy-mejia <namejia@microsoft.com>
2023-03-23 12:02:07 -07:00
Sheri Gilley 6a102e6b49 Get started tutorials (#2111)
New tutorial series
2023-03-21 15:48:37 -05:00
Kenwiggan ed819aa945 minor updates added to AzureML in day file (#2085)
* minor updates added to AzureML in day file

* add text to modify notebook

* fix meta data

* fix meta data

---------

Co-authored-by: Kenwiggan <kwiggan@microsoft.com>
Co-authored-by: Sheri Gilley <sgilley@microsoft.com>
2023-02-23 10:54:05 -08:00
Alain LI 94a0f1f485 Prs examples (#2064)
* Update PRS examples

* Update PRS examples

* Update prs examples

* Update PRS examples

* Update format

* Update by comments

* fix sdk default datastore issue.

* Update wording
2023-02-08 09:59:59 +08:00
Sheri Gilley b7b926b23b fix code cell (#2039)
* fix code cell

If creating the compute cluster, the print didn't work.  This change fixes that.
(Default code won't hit this, because the compute cluster already exists.  But only occurs when that default cluster is not present.)

* Update azureml-in-a-day.ipynb

* Update azureml-in-a-day.ipynb

* move print and revert var change
2023-02-02 14:19:55 -08:00
jeff-shepherd de323c8265 Fixed readme.py loading notebook (#2041) 2023-01-26 15:32:30 -08:00
saoh 1bbe59d02c Update azureml-getting-started-studio.ipynb (#1849) 2023-01-23 13:06:39 -08:00
Sheri Gilley 5266549711 minor edit of markdown content (#2019) 2023-01-09 09:10:54 -08:00
Sheri Gilley 5ad25759d3 update markdown cells to sync with doc (#2001) 2022-12-30 16:30:53 -08:00
Bala P V 539bf6257d Adding automated tests and README for SDK v2 tutorials (#1903)
* Adding test for AML in a day

* Update tutorials-azureml-in-a-day-azureml-in-a-day.yml

* Update tutorials-azureml-in-a-day-azureml-in-a-day.yml

* Update tutorials-azureml-in-a-day-azureml-in-a-day.yml

* Update azureml-in-a-day.ipynb

* Adding tests for more tutorials

* Update azureml-in-a-day.ipynb

* Adding README files

* Update readme.py

* Update azureml-in-a-day.ipynb

* Added Description to all files

* Update README.md

* Update readme.py
2022-11-23 11:45:44 -08:00
amah 438dd00ce2 Amah/update e2e sample (#1898)
* updated the notebook

* updated the e2e sample notebook

* removed test value

* linting

* removed unwanted cell

Co-authored-by: Ali M <amah@microsoft.com>
2022-11-21 12:17:26 -08:00
Xingzhi Zhang f884f1f69f fix: upgrade ubuntu from 18.04 to 20.04 for pipeline (#1888)
* fix: deprecate ubuntu 18.04 for pipeline

* fix: upgrade unbuntu for direct usage

* fix: AzureML-sklearn-0.24-ubuntu18.04-py37-cpu

* fix: fix typo

* fix: fix 2 ci

* fix: roll back unexpected changes

* fix: use version 1

* roll back unexpected change
2022-11-18 10:59:36 +08:00
TonyJ1 0144d7363e [ML] Get studio url using 'job.studio_url' property instead of 'job.services["Studio"].endpoint (#1878)
* [ML] Get studio url using 'job.studio_url' property instead of 'job.services[Studio].endpoint
2022-11-14 13:36:29 -08:00
Harneet Virk 2531497d78 Adding reusable bootstrapping script to configure infra resources (#1602)
* Adding reusable bootstrapping script to configure infra resources

* Fixing tput error

* Disable color coding for the output

* Removing the tput call

* Adjusting the directory structure of infra scripts

* Adjusting the path of the bootstrapping script

* Rerunning 2 workflows only

* Addressing the indendation issue

* Fixing the path of the init script

* loggign the path

* Adding workspace path

* adding helper script call

* Removing typo from the file name

* Adding source call

* Refactoring the Compute creation script

* Updating single-step workflows

* Updating CLI script to use bootstrapping script

* Updating all of the cli workflows

* Updating all of the CLI and SDK workflows

* Allowing endpoint workflows to continue ot use old subscription

* Updating all of the CLI and SDK workflows for cli configuration

* Refactoring logging

* Refactoring some of the existing scipts

* Updating the dataset call

* Updating pipeline workflows for extracting the correct config

* Updating the azure config

* Adding helper scripts for resource provisioning

* Refactoring samples to use the new subscription

* fix permissions for running sh files

* fix permissions for running sh files

* Ensuring the tool are installed

* Add copy data script

* Updating the config generation in SDK workflows

* Updating the config generation directory

* Updating the config generation directory one subdirectory level

* Extracting the folder name from the path for creating config

* Adding logging

* Adding logging for pwd

* Adding config.json

* Adding generic scripts for granting permissions on rg

* Updating the workflows by adding the cluster info

* Adding the new dataset

* Adding concurrency and updating the schedules of the jobs

* Updating the workflows to use concurrency

* cancel a currently running workflow from the same PR, branch or tag

* Updating workflows for concurrency

* Logging the information about workflow names

* Changign the group name to variable

* Printing the notebooks content

* Print the content of the notebooks

* Merging changes from main

* Adding pre-commit-hook

* Updating the task names

* Reverting the set-up repo changes

* Addressing the formatting of the files

* Addressing the formatting of the files

* Updating the moe scripts to fetch the registry name

* Updating the new workflows

* Adding new workflows and fixing the formatting of the files

* Updating the replacements

* Updating the ACR details

* Updating bootstrapping script

* Updating the ACR

* Fixing the typo in notebook

* Adding the script to create vnet/subnet

* Updating the workflows

* Updating the identity creation with appropriate roles

* Archieve the model while running endpoint workflows and create vnets

* Adding bootstrapping workflow

* Removing managed online endpoints VS workflow

* Continue on error for bootstrap workflow

* Adding the path in the workflow

* Debug the bootstrapping workflow

* Adding call to bootstrap mltable

* Adding call az ml commands

* Adding call az ml commands by removing data calls

* Adding the replacements for InteractiveBrowserCredential

* Reformatting the notebook

* Updating the bootstrap workflow

* Updating the bootstrap workflow with less logging

* Updating the bootstrap workflow with less logging

* Updating the bootstrap workflows

* Adding more bootstrapping steps

* Removing newly added workflows

* Install tools as part of bootstrap step

* Updating the script to grant permissions on identity

* Updating the ACR Details

* Importing data for automl jobs

* Reformatting the files and regenrating all files

* Updating the SDK package version

* Updating bootstrapping script name

* fix pipeline sample 4b

* fix pipeline sample 4b

* Reformating and updating the folder path in bootstrapping workflow

* Update sdk path in bootstrapping workflow

* Regenerate the workflows

* Merging changes from main and regenerating the workflows

* Adding owner for the tags

* update image cli to run prepare_data.py first (#1699)

Co-authored-by: Riti Sharma <risha@microsoft.com>

* Regenerating the workflows after adding data prep step

* add automl in the check for prepare_data

* update ymls

* Updating the script to reinstall ML extension

* Regenerating the workflows for automl to address identity installation issue

* Regenerating the workflows for automl to address identity installation issue and reformatting

* Installing SDK required for running prepare dataset

* Updating the SDK call for automl workflows

* Fix failed CLI pipeline(add restriction on azureml-mlflow) (#1703)

* add restriction

* fix

* update

* directly use expected version

* update

* update

* remove deleted wf

* Updating ARC script

* Updating the readme file

* Regenerate the workflows

* Updating arc scripts

* Adding macro for account name and container

* Calling update dataset script

* Regenerating workflows and addressing formatting

* Merging changes from main after sdk release

* Address the vulnerabilities in the VMSS agents pool

* Merging changes from main for new workflows

* Update SDK v2 in setup file

* update cli cifar distributed

* init (#1786)

* Updating registry env variable

* Automated resource provisioning - registries (#1812)

* init

* enable registry check

* init REGISTRY_NAME

* changed env var names and import

* try to fix checks

* ran readme.py; changed registry yml location; modified helper

* fixing syntax

* [mldesigner] Modify sdk/1b to adopt newest mldesigner 0.1.0b7 (#1794)

* update

* update

* update

* update

* update

* update

* change registry name for testing

* fixing syntax

* fixing syntax

* change registry name for testing

* change registry name for testing

* Dont run samples for any checkin (#1799)

* Dont run samples for any checkin

* Reformat with black

* change registry name for testing

* change registry name back

* replace version

* Batch Endpoints scenarios (#1777)

* batch scenarios

remove model

* black

* comments

* typo

* typos

* formatting

* build

* batch.sh fix

* modified model deployment

* fixing workflow

* Fix model path in Local Debug in VSCode (#1679)

* Resolve model path issue and add to readme ignore

* Update readme

* Revert readme

* Update readme

* Fix environment

* Remove stray line

* Change to default azure credential

* remove workflow

* [mldesigner] Fix mldesigner version in sample (#1797)

* update

* update

* update

* update

* update

* update

* ran readme.py, edited readme.py, edited workflow

* added log for debugging

* fixing env var

* added enviroment to deploy.yml

* revert deploy.yml

* resolved conflicts

* revert changes in v1

Co-authored-by: Korin <0mza987@gmail.com>
Co-authored-by: Bala P V <33712765+balapv@users.noreply.github.com>
Co-authored-by: Facundo Santiago <fasantia@microsoft.com>
Co-authored-by: Alex Wallace <80542152+xanwal@users.noreply.github.com>

* Updating the bootstrapping script

* Update sdk_helpers.sh

fixing the registry creating bug

* modified ensure_registry

* Updating the resource names to use November month resources

Co-authored-by: lochen <cloga0216@gmail.com>
Co-authored-by: sharma-riti <52715641+sharma-riti@users.noreply.github.com>
Co-authored-by: Riti Sharma <risha@microsoft.com>
Co-authored-by: Han Wang <phoenix.seek@gmail.com>
Co-authored-by: Ayush Mishra <61145377+novaturient95@users.noreply.github.com>
Co-authored-by: Douglas Xiao <xiake@microsoft.com>
Co-authored-by: Komnus丶Q <40655746+quchuyuan@users.noreply.github.com>
Co-authored-by: Korin <0mza987@gmail.com>
Co-authored-by: Bala P V <33712765+balapv@users.noreply.github.com>
Co-authored-by: Facundo Santiago <fasantia@microsoft.com>
Co-authored-by: Alex Wallace <80542152+xanwal@users.noreply.github.com>
Co-authored-by: Chuyuan Qu <chuyuanqu@microsoft.com>
2022-10-28 19:23:32 -07:00
jeff-shepherd cbfa1c6abb Updated the default kernel for V2 tutorials (#1749) 2022-10-11 13:23:34 -07:00
Harneet Virk 112f898b7b Updating the candidate for SDK - 0.1.0b8 (#1706)
* Updating the candidate for SDK - 0.1.0b8

* Replacing path with source for load method

* Updating load components parameter for more notebooks

* Update sdk target

* Update notebooks to wait for result from LROPoller

* Fix malformed notebook

* Update CLI version

* Get result from LROPoller from job-schedule notebook

* Update sdk release candidate

* Remove extraneous result from schedules notebook

* Updating the configurations of notebook for working_with_mltable

* Wait for compute operations

* Get result from LRO poller in online-endpoints-safe-rollout

* Update SDK version

* Update SDK Version

Co-authored-by: Kevin Destin <101366538+kdestin@users.noreply.github.com>
2022-10-10 09:10:14 -07:00
Frogglew 308316758d Add files via upload (#1708)
* Add files via upload

Adding the new revision of the notebook, renamed so it is more distinctive.

* Delete azureml-getting-started.ipynb

removed the older version

* Formatting notebook to pass smoke test

Co-authored-by: Bala P V <33712765+balapv@users.noreply.github.com>
2022-09-30 12:18:16 -07:00
Frogglew a5be309d31 Add files via upload (#1707)
adding GIF assets used in the updated notebook.
2022-09-30 12:05:09 -07:00
Bala P V 3b59366313 Black formatting 2 files 2022-09-28 17:06:11 -07:00