Minor Error in Documentation - Automated Machine Learning Continuous retraining using Pipelines and Time-Series TabularDataset
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Assessment
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Newbie friendliness
- 45/100
- Issue type
- Documentation
- Clarity
- Clearly specified
- Activity status
- Stale
- Tech stack
- azure, jupyter-notebook, python
- Domain
- documentation, machine-learning
Research direction
Open how-to-use-azureml/automated-machine-learning/continuous-retraining/auto-ml-continuous-retraining.ipynb and inspect the second-last code section for scheduling the data-ingestion pipeline. Verify that the NOAA weather data pipeline is the object being published, and confirm the section uses data_pipeline rather than training_pipeline.
Written by the indexing model from the issue text.
Description
In the Notebook, "Automated Machine Learning Continuous retraining using Pipelines and Time-Series TabularDataset" there is a minor error, in the second last code section, referring to the scheduling of the Data-Ingestion Pipeline.
The provided code refers incorrectly to the training_pipeline rather than the data_pipeline used to retrieve daily NOAA weather data.
pipeline_name = "DataIngestion-Pipeline-NOAAWeather"
published_pipeline = training_pipeline.publish(
name=pipeline_name, description="Pipeline that updates NOAAWeather Dataset"
)
Should be:
pipeline_name = "DataIngestion-Pipeline-NOAAWeather"
published_pipeline = data_pipeline.publish(
name=pipeline_name, description="Pipeline that updates NOAAWeather Dataset"
)
- Dominant language
- Jupyter Notebook
- Stars
- 4.4k
- Forks
- 2.6k
- PR merge metrics
- No merged PRs in 30d
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