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Task 119 (Supervised Classification) diabetes Uploaded 17-10-2024 by Continuous Integration
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TEST22b9d765e6sklearn.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`.
TEST22b9d765e6sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_memory	null
TEST22b9d765e6sklearn.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"}}]
TEST22b9d765e6sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_verbose	false
TEST22b9d765e6sklearn.impute._base.SimpleImputer(1)_add_indicator	false
TEST22b9d765e6sklearn.impute._base.SimpleImputer(1)_copy	true
TEST22b9d765e6sklearn.impute._base.SimpleImputer(1)_fill_value	null
TEST22b9d765e6sklearn.impute._base.SimpleImputer(1)_keep_empty_features	false
TEST22b9d765e6sklearn.impute._base.SimpleImputer(1)_missing_values	NaN
TEST22b9d765e6sklearn.impute._base.SimpleImputer(1)_strategy	"mean"
TEST22b9d765e6sklearn.impute._base.SimpleImputer(1)_verbose	"deprecated"
TEST22b9d765e6sklearn.dummy.DummyClassifier(1)_constant	null
TEST22b9d765e6sklearn.dummy.DummyClassifier(1)_random_state	48169
TEST22b9d765e6sklearn.dummy.DummyClassifier(1)_strategy	"prior"