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Task 119 (Supervised Classification) diabetes Uploaded 11-01-2024 by Continuous Integration
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TESTeeed874ce0sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.Simple Imputer,classifier=sklearn.dummy.DummyClassifier)(1)	Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit and transform methods. The final estimator only needs to implement fit. The transformers in the pipeline can be cached using ``memory`` argument. The purpose of the pipeline is to assemble several steps that can be cross-validated together while setting different parameters. For this, it enables setting parameters of the various steps using their names and the parameter name separated by a '__', as in the example below. A step's estimator may be replaced entirely by setting the parameter with its name to another estimator, or a transformer removed by setting it to 'passthrough' or ``None``.
TESTeeed874ce0sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_memory	null
TESTeeed874ce0sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_steps	[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "classifier", "step_name": "classifier"}}]
TESTeeed874ce0sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_verbose	false
TESTeeed874ce0sklearn.impute._base.SimpleImputer(1)_add_indicator	false
TESTeeed874ce0sklearn.impute._base.SimpleImputer(1)_copy	true
TESTeeed874ce0sklearn.impute._base.SimpleImputer(1)_fill_value	null
TESTeeed874ce0sklearn.impute._base.SimpleImputer(1)_missing_values	NaN
TESTeeed874ce0sklearn.impute._base.SimpleImputer(1)_strategy	"mean"
TESTeeed874ce0sklearn.impute._base.SimpleImputer(1)_verbose	0
TESTeeed874ce0sklearn.dummy.DummyClassifier(1)_constant	null
TESTeeed874ce0sklearn.dummy.DummyClassifier(1)_random_state	2148
TESTeeed874ce0sklearn.dummy.DummyClassifier(1)_strategy	"prior"