Added ability to utilize instantiated components when creating a pipeline #2643
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@@ Coverage Diff @@
## main #2643 +/- ##
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+ Coverage 99.9% 99.9% +0.1%
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Files 298 298
Lines 27086 27098 +12
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+ Hits 27042 27054 +12
Misses 44 44
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chukarsten
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angela97lin
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| } | ||
| cg = ComponentGraph(graph) | ||
| cg.instantiate({"Imputer": {}}) | ||
| assert graph["Imputer"][0] == cg.get_component("Imputer") |
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Do we have a test that the component instance's set parameters are still kept in the component graph / pipeline?
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Updated test to make sure that existing parameters are not changed during instantiation.
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As part of #2587, we will need to be able to create new pipelines using already trained components. When creating new pipelines ensemble pipelines, the AutoML algorithm will be choosing from the best previously trained pipelines to create one large ensembling pipeline. Rather than creating an entirely new ensembling pipeline with the best parameters and retraining the entire pipeline, we can just utilize the pre-trained components and train only the final estimator.
This PR adds support for using already instantiated components when creating a new pipeline. When an instantiated component is passed through a dictionary, the existing object is used rather than the current behavior of raising an error.