AutoMLPipeline Class
Used to hold pipeline responses.
Create an AutoMLPipeline object that wraps pipeline metadata.
- Inheritance
-
builtins.objectAutoMLPipeline
Constructor
AutoMLPipeline(run_context: AutoMLAbstractRunContext, pipeline_script: str, pipeline_id: str, training_size: float | None = None, predicted_time: float | None = None)
Parameters
Name | Description |
---|---|
run_context
Required
|
the child run context for this pipeline |
pipeline_script
Required
|
a string representing the pipeline to be run |
pipeline_id
Required
|
a hash string used to identify this pipeline |
training_size
|
a float in the range (0.0, 1.0] describing what portion of the data should be used during training. If None provided, the full dataset is used. default value: None
|
predicted_time
|
a float that describes the expected number of seconds needed to run this pipeline. default value: None
|
Attributes
is_ensemble_pipeline
Check whether this pipeline is an ensemble pipeline.
Returns
Type | Description |
---|---|
True if this pipeline is an ensemble pipeline, false otherwise |
training_percent
Return the percentage of data that will be used during training.
Returns
Type | Description |
---|---|
a percentage value from 0 to 100 inclusive |
Feedback
https://aka.ms/ContentUserFeedback.
Coming soon: Throughout 2024 we will be phasing out GitHub Issues as the feedback mechanism for content and replacing it with a new feedback system. For more information see:Submit and view feedback for