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BaggingRegressor — scikit-learn 1.7.1 documenta...
n_informative = 2 , n_targets = 1 , ... random_state = 0 , shuffle = False...estimator = None , n_estimators = 10 , * , max_samples = 1.0 , max_features...scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingRegressor.html -
RandomTreesEmbedding — scikit-learn 1.7.1 docum...
n_estimators = 100 , * , max_depth = 5 , min_samples_split = 2 , min_samples_leaf...max_leaf_nodes = None , min_impurity_decrease = 0.0 , sparse_output = True...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomTreesEmbedding.html -
OutlierMixin — scikit-learn 1.7.1 documentation
shape = len ( X )) >>> estimator = MyEstimator () >>> X = np ....self , X , y = None ): ... self . is_fitted_ = True ... return...scikit-learn.org/stable/modules/generated/sklearn.base.OutlierMixin.html -
RandomForestClassifier — scikit-learn 1.7.1 doc...
n_estimators = 100 , * , criterion = 'gini' , max_depth = None , min_samples_split...min_weight_fraction_leaf = 0.0 , max_features = 'sqrt' , max_leaf_nodes = None ,...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html -
8.3. Generated datasets — scikit-learn 1.7.1 do...
ax2 ) = plt . subplots ( nrows = 1 , ncols = 2 , figsize = ( 8...make_blobs X , y = make_blobs ( centers = 3 , cluster_std = 0.5 , random_state...scikit-learn.org/stable/datasets/sample_generators.html -
TSNE — scikit-learn 1.7.1 documentation
init = 'pca' , verbose = 0 , random_state = None , method = 'barnes_hut'...n_components = 2 , * , perplexity = 30.0 , early_exaggeration = 12.0...scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html -
smacof — scikit-learn 1.7.1 documentation
metric = True , n_components = 2 , init = None , n_init = 'warn'...n_jobs = None , max_iter = 300 , verbose = 0 , eps = 1e-06 ,...scikit-learn.org/stable/modules/generated/sklearn.manifold.smacof.html -
Decision Tree Regression with AdaBoost — scikit...
color = colors [ 1 ], label = "n_estimators=1" , linewidth = 2 )...regr_1 = DecisionTreeRegresso ( max_depth = 4 ) regr_2 = AdaBoostRegressor...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_regression.html -
check_scoring — scikit-learn 1.7.1 documentation
estimator = None , scoring = None , * , allow_none = False , raise_exc...X , y = load_iris ( return_X_y = True ) >>> classifier = DecisionTreeClassifi...scikit-learn.org/stable/modules/generated/sklearn.metrics.check_scoring.html -
GraphicalLasso — scikit-learn 1.7.1 documentation
alpha = 0.01 , * , mode = 'cd' , covariance = None , tol = 0.0001...enet_tol = 0.0001 , max_iter = 100 , verbose = False , eps = np.f...scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLasso.html