7441bc4dc6
Pin numpy dependency ( #3441 )
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* Pin numpy dependency
* update
2024-11-08 21:36:13 +05:30
762bca3e72
Update deploy-model.ipynb ( #3388 )
2024-09-17 18:10:31 -05:00
70f0ddd0cf
Upgraded to sklearn-1.5 ( #3300 )
2024-07-19 11:44:25 -07:00
cbe2b16002
sample: upgrade curated environment ( #3059 )
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* 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
db660f0eb7
Freshness updates to deploy-model.ipynb ( #3036 )
2024-03-13 16:40:29 -05:00
c00d224768
Update workstation_env.yml ( #2870 )
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Update workstation_env.yml to fix mlflow version issue
2023-11-28 15:38:25 -06:00
da3ceab686
update env versions and image ( #2838 )
2023-11-16 11:25:57 -06:00
1ad4a1292b
update for serverless compute ( #2830 )
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* update for serverless compute
* run black
2023-11-14 09:10:02 -06:00
815379d74c
Update train-model.ipynb ( #2744 )
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update package versions for mlflow and azureml-mlflow
2023-10-17 17:18:40 -05:00
696eb99db4
Update workstation_env.yml ( #2681 )
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delete extraneous space
2023-09-27 10:02:18 -05:00
aee8bfe5bf
Update workstation_env.yml ( #2680 )
2023-09-26 15:59:57 -05:00
5ee8561cc2
Sdg pipeline ( #2496 )
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* 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
17c72c94f4
replace the public data source to a public Azure blob one ( #2500 )
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* 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
67777f0c46
Update quickstart.ipynb ( #2457 )
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* 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
867d4c2ba8
serverless samples ( #2260 )
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* 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
e04422f2a9
add comments about quota to code cells ( #2322 )
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* add comments about quota to code
* run black
* add more comments
2023-05-23 08:50:13 -05:00
37c3572b3c
Rename conda.yml to conda.yaml ( #2206 )
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* Rename conda.yml to conda.yaml
* Re-ran sdk/python/readme.py to update workflows
2023-04-17 13:43:10 -07:00
303957a3ad
remove experiment_name ( #2154 )
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* remove experiment_name
* remove bullet
2023-03-28 09:48:40 -05:00
14ab3c78a8
metadata and md updates ( #2150 )
2023-03-23 17:33:07 -05:00
a1f1b852ee
Update deploy-model notebook ( #2149 )
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Co-authored-by: nancy-mejia <namejia@microsoft.com>
2023-03-23 12:02:07 -07:00
6a102e6b49
Get started tutorials ( #2111 )
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New tutorial series
2023-03-21 15:48:37 -05:00
Ayush Mishra
Mope Akande
jeff-shepherd
Xingzhi Zhang
lebaro-msft
Sheri Gilley
eniac871
vijetajo
Vivian Li
nancy-mejia