47af2671c6
* pin simplification package version to avoid numpy version update * pin simplification package * pin simplification package * reformat files |
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| .. | ||
| cli-aml-demand-forecast-pipeline | ||
| cli-automl-classification-task-bankmarketing-pipeline | ||
| cli-automl-regression-housepricing-pipeline | ||
| cli-automl-text-classification-multilabel-paper-categorization-pipeline | ||
| cli-automl-text-classification-newsgroup-pipeline | ||
| cli-automl-text-ner-conll-pipeline | ||
| demand-forecast-pipeline | ||
| image-instance-segmentation-task-fridge-items-pipeline | ||
| image-multiclass-classification-fridge-items-pipeline | ||
| image-multilabel-classification-fridge-items-pipeline | ||
| image-object-detection-task-fridge-items-pipeline | ||
| README.md | ||
README.md
| page_type | languages | products | description | |||
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| sample |
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This sample explains how to use AutoML tasks like `Classification` & `Regression` inside pipeline. |
AutoML task in pipeline
This sample explains how to
- use
ClassificationAutoML task to train model to predicate bank marketing inside pipeline. - use
RegressionAutoML task to train model to predicate house pricing inside pipeline. - use
ForecastingAutoML task to do time series forecasting on nyc energy demand data inside pipeline.
Submit the Pipeline Job with classification task:
az ml job create --file classification-task-bankmarketing-pipeline.yml
Submit the Pipeline Job with regression task:
az ml job create -f regression-task-housepricing-pipeline.yml