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1.1. Linear Models — scikit-learn 1.7.1 documen...
0 ], [ 1 , 1 ]], [ 0 , .1 , 1 ]) Ridge(alpha=0.5) >>> reg . coef_...predicted value. \[\hat{y}(w, x) = w_0 + w_1 x_1 + ... + w_p x_p\]...scikit-learn.org/stable/modules/linear_model.html -
Glossary of Common Terms and API Elements — sci...
features (i.e. n_features ), or columns in a 2d feature matrix. Dimensions...Types , Target Types , Methods , Parameters , Attributes , Data...scikit-learn.org/stable/glossary.html -
1.11. Ensembles: Gradient boosting, random fore...
classification, in particular for tabular data. 1.11.1.1. Histogram-Based...Gradient Boosting models 1.11.1.1.1. Usage # Most of the parameters...scikit-learn.org/stable/modules/ensemble.html -
Classification — scikit-learn 1.7.1 documentation
top Ctrl + K GitHub Choose version Classification # General examples...covariance ellipsoid Normal, Ledoit-Wolf and OAS Linear Discriminant...scikit-learn.org/stable/auto_examples/classification/index.html -
Getting Started — scikit-learn 1.7.1 documentation
StandardScaler () . fit ( X ) . transform ( X ) array([[-1., 1.], [ 1., -1.]])...make_pipeline ( ... StandardScaler (), ... LogisticRegression () ... ) ......scikit-learn.org/stable/getting_started.html -
sg_gallery-binder.css
/* CSS for binder integration */ div.binder-badge { margin: 1em...1em auto; vertical-align: middle; } div.lite-badge { margin: 1em...scikit-learn.org/stable/_static/sg_gallery-binder.css -
MultiTaskLasso — scikit-learn 1.7.1 documentation
], [ 1 , 2 ], [ 2 , 4 ]], [[ 0 , 0 ], [ 1 , 1 ], [ 2 , 3 ]]) ...MultiTaskLasso(alpha=0.1) >>> print ( clf . coef_ ) [[0. 0.60809415]...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLasso.html -
StackingClassifier — scikit-learn 1.7.1 documen...
RandomForestClassifi ( n_estimators = 10 , random_state = 42 )), ... ( 'svr' ,...load_iris ( return_X_y = True ) >>> estimators = [ ... ( 'rf' , RandomForestClassifi...scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingClassifier.html -
MultiTaskElasticNet — scikit-learn 1.7.1 docume...
0 , 0 ], [ 1 , 1 ], [ 2 , 2 ]], [[ 0 , 0 ], [ 1 , 1 ], [ 2 , 2...print ( clf . intercept_ ) [0.0872422 0.0872422] fit ( X , y ) [source]...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNet.html -
AdaBoostRegressor — scikit-learn 1.7.1 document...
predict ([[ 0 , 0 , 0 , 0 ]]) array([4.7972]) >>> regr . score ( X ,...{‘linear’, ‘square’, ‘exponential’}, default=’linear’ The loss function...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html