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basic_generic_flow

basic_generic_flow

Visibility: public Uploaded 21-10-2021 by sklearn==0.24.2 numpy>=1.13.3 scipy>=0.19.1 joblib>=0.11 threadpoolctl>=2.0.0 1 runs
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  • openml-python python scikit-learn sklearn sklearn_0.24.2
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A simple generic flow used as an example. More details https://docs.openml.org/Python-examples/

Parameters

memoryUsed to cache the fitted transformers of the pipeline. By default, no caching is performed. If a string is given, it is the path to the caching directory. Enabling caching triggers a clone of the transformers before fitting. Therefore, the transformer instance given to the pipeline cannot be inspected directly. Use the attribute ``named_steps`` or ``steps`` to inspect estimators within the pipeline. Caching the transformers is advantageous when fitting is time consumingdefault: null
stepsList of (name, transform) tuples (implementing fit/transform) that are chained, in the order in which they are chained, with the last object an estimatordefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "Preprocessing", "step_name": "Preprocessing"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "Classifier", "step_name": "Classifier"}}]
verboseIf True, the time elapsed while fitting each step will be printed as it is completed.default: false

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