- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 11 - 20 of 107 for pipe (0.1 sec)
-
quantile_transform — scikit-learn 1.5.0 documen...
scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html -
grid_search.rst.txt
tion import SelectKBest >>> pipe = Pipeline([ ... ('select',...8]} >>> search = GridSearchCV(pipe, param_grid, cv=5).fit(X, y)...scikit-learn.org/stable/_sources/modules/grid_search.rst.txt -
3.2. Tuning the hyper-parameters of an estimato...
tion import SelectKBest >>> pipe = Pipeline ([ ... ( 'select'...>>> search = GridSearchCV ( pipe , param_grid , cv = 5 ) . fit...scikit-learn.org/stable/modules/grid_search.html -
6.3. Preprocessing data — scikit-learn 1.5.0 do...
random_state = 42 ) >>> pipe = make_pipeline ( StandardScaler...(), LogisticRegression ()) >>> pipe . fit ( X_train , y_train )...scikit-learn.org/stable/modules/preprocessing.html -
preprocessing.rst.txt
random_state=42) >>> pipe = make_pipeline(StandardScaler(),..., LogisticRegression()) >>> pipe.fit(X_train, y_train) # apply...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt -
One-Class SVM versus One-Class SVM using Stocha...
1e-4 ) pipe_sgd = make_pipeline ( transform , clf_sgd ) pipe_sgd...y_pred_train_sgd = pipe_sgd . predict ( X_train ) y_pred_test_sgd = pipe_sgd...scikit-learn.org/stable/auto_examples/linear_model/plot_sgdocsvm_vs_ocsvm.html -
Comparing Target Encoder with Other Encoders — ...
pipe ): result = cross_validate ( pipe , X , y , scoring...categorical_features ), ] ) pipe = make_pipeline ( preprocessor...scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder.html -
6.1. Pipelines and composite estimators — sciki...
SVC ())] >>> pipe = Pipeline ( estimators ) >>> pipe Pipeline(s...pipeline: >>> pipe . steps [ 0 ] ('reduce_dim', PCA()) >>> pipe [ 0 ]...scikit-learn.org/stable/modules/compose.html -
Displaying Pipelines — scikit-learn 1.5.0 docum...
] pipe = Pipeline ( steps ) pipe # click on the...= "linear" ))] pipe = Pipeline ( steps ) pipe # click on the...scikit-learn.org/stable/auto_examples/miscellaneous/plot_pipeline_display.html -
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