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Balance model complexity and cross-validated sc...
argmin () ] return best_idx pipe = Pipeline ( [ ( "reduce_dim"...14 ]} grid = GridSearchCV ( pipe , cv = 10 , n_jobs = 1 , param_grid...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_refit_callable.html -
auto_examples_python.zip
pipe.set_params(max_depth=3, max_iter=15) else: pipe.set_params(...tol=1e-4 ) pipe_sgd = make_pipeline(transform, clf_sgd) pipe_sgd.fit(X_train)...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip -
Categorical Feature Support in Gradient Boostin...
for pipe in ( hist_dropped , hist_one_hot...hist_ordinal , hist_native ): if pipe is hist_native : # The native...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_categorical.html -
Getting Started — scikit-learn 1.4.2 documentation
create a pipeline object >>> pipe = make_pipeline ( ... StandardScaler...# fit the whole pipeline >>> pipe . fit ( X_train , y_train )...scikit-learn.org/stable/getting_started.html -
Selecting dimensionality reduction with Pipelin...
load_digits ( return_X_y = True ) pipe = Pipeline ( [ ( "scaling" ,...f)" ] grid = GridSearchCV ( pipe , n_jobs = 1 , param_grid =...scikit-learn.org/stable/auto_examples/compose/plot_compare_reduction.html -
Introducing the set_output API — scikit-learn 1...
transform_output = "pandas" ) num_pipe = make_pipeline ( SimpleImputer...ColumnTransformer ( ( ( "numerical" , num_pipe , num_cols ), ( "categorical"...scikit-learn.org/stable/auto_examples/miscellaneous/plot_set_output.html -
1. Metadata Routing — scikit-learn 1.4.2 docume...
= SelectKBest ( k = 2 ) >>> pipe = make_pipeline ( sel , lr )...cv_results = cross_validate ( ... pipe , ... X , ... y , ... cv = GroupKFold...scikit-learn.org/stable/metadata_routing.html -
sklearn.preprocessing.maxabs_scale — scikit-lea...
most risks of data leaking: pipe = make_pipeline(MaxAbsScaler(),...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.maxabs_scale.html -
Elasticsearch: The Official Distributed Search ...
and from a piped query language. Start simple...www.elastic.co/elasticsearch -
sklearn.preprocessing.scale — scikit-learn 1.4....
most risks of data leaking: pipe = make_pipeline(StandardScaler(),...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.scale.html