Run 150

Task 119 (Supervised Classification) diabetes Uploaded 11-01-2024 by Continuous Integration
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads

Issue	#Downvotes for this reason	By

Flow

TEST56070cb2b8sklearn.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`. For an example use case of `Pipeline` combined with :class:`~sklearn.model_selection.GridSearchCV`, refer to :ref:`sphx_glr_auto_examples_compose_plot_compare_reduction.py`. The example :ref:`sphx_glr_auto_exampl...
TEST56070cb2b8sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_memory	null
TEST56070cb2b8sklearn.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"}}]
TEST56070cb2b8sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,classifier=sklearn.dummy.DummyClassifier)(1)_verbose	false
TEST56070cb2b8sklearn.impute._base.SimpleImputer(1)_add_indicator	false
TEST56070cb2b8sklearn.impute._base.SimpleImputer(1)_copy	true
TEST56070cb2b8sklearn.impute._base.SimpleImputer(1)_fill_value	null
TEST56070cb2b8sklearn.impute._base.SimpleImputer(1)_keep_empty_features	false
TEST56070cb2b8sklearn.impute._base.SimpleImputer(1)_missing_values	NaN
TEST56070cb2b8sklearn.impute._base.SimpleImputer(1)_strategy	"mean"
TEST56070cb2b8sklearn.dummy.DummyClassifier(1)_constant	null
TEST56070cb2b8sklearn.dummy.DummyClassifier(1)_random_state	15293
TEST56070cb2b8sklearn.dummy.DummyClassifier(1)_strategy	"prior"