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ridge_regression — scikit-learn 1.7.1 documenta...
sample_weight = None , solver = 'auto' , max_iter = None , tol = 0.0001..., verbose = 0 , positive = False , random_state = None , return_n_iter...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ridge_regression.html -
SVM: Maximum margin separating hyperplane — sci...
y = make_blobs ( n_samples = 40 , centers = 2 , random_state...purposes clf = svm . SVC ( kernel = "linear" , C = 1000 ) clf ....scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane.html -
1.5. Stochastic Gradient Descent — scikit-learn...
>>> clf = SGDClassifier ( loss = "hinge" , penalty = "l2" , max_iter...>>> clf = SGDClassifier ( loss = "log_loss" , max_iter = 5 ) ....scikit-learn.org/stable/modules/sgd.html -
DBSCAN — scikit-learn 1.7.1 documentation
metric_params = None , algorithm = 'auto' , leaf_size = 30 , p = None...DBSCAN ( eps = 0.5 , * , min_samples = 5 , metric = 'euclidean'...scikit-learn.org/stable/modules/generated/sklearn.cluster.DBSCAN.html -
PLSRegression — scikit-learn 1.7.1 documentation
n_components = 2 , * , scale = True , max_iter = 500 , tol = 1e-06 ,...algorithm='nipals' . Ignored otherwise. tol float, default=1e-06...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSRegression.html -
ARDRegression — scikit-learn 1.7.1 documentation
max_iter = 300 , tol = 0.001 , alpha_1 = 1e-06 , alpha_2 = 1e-06...lambda_1 = 1e-06 , lambda_2 = 1e-06 , compute_score = False ,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ARDRegression.html -
KernelRidge — scikit-learn 1.7.1 documentation
alpha = 1 , * , kernel = 'linear' , gamma = None , degree = 3 ,..., coef0 = 1 , kernel_params = None ) [source] # Kernel ridge regression....scikit-learn.org/stable/modules/generated/sklearn.kernel_ridge.KernelRidge.html -
Plot individual and voting regression predictio...
( axis = "x" , which = "both" , bottom = False , top = False ,...reg1 = GradientBoostingRegr ( random_state = 1 ) reg2 = RandomForestRegresso...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_regressor.html -
radius_neighbors_graph — scikit-learn 1.7.1 doc...
mode = 'connectivity' , metric = 'minkowski' , p = 2 , metric_params...metric_params = None , include_self = False , n_jobs = None ) [source]...scikit-learn.org/stable/modules/generated/sklearn.neighbors.radius_neighbors_graph.html -
OneHotEncoder — scikit-learn 1.7.1 documentation
categories='auto' , drop=None , sparse_output=True , dtype=<class...handle_unknown='error' , min_frequency=None , max_categories=None , ...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html