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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 -
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 -
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 -
LassoLarsCV — scikit-learn 1.7.1 documentation
precompute = 'auto' , cv = None , max_n_alphas = 1000 , n_jobs = None...fit_intercept = True , verbose = False , max_iter = 500 , precompute...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsCV.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 -
TruncatedSVD — scikit-learn 1.7.1 documentation
n_components = 2 , * , algorithm = 'randomized' , n_iter = 5 , n_oversamples...( 50 )] = 0 >>> X = csr_matrix ( X_dense ) >>> svd = TruncatedSVD...scikit-learn.org/stable/modules/generated/sklearn.decomposition.TruncatedSVD.html -
PoissonRegressor — scikit-learn 1.7.1 documenta...
max_iter = 100 , tol = 0.0001 , warm_start = False , verbose = 0 )...* , alpha = 1.0 , fit_intercept = True , solver = 'lbfgs' , max_iter...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PoissonRegressor.html -
TheilSenRegressor — scikit-learn 1.7.1 document...
n_subsamples = None , max_iter = 300 , tol = 0.001 , random_state = None...fit_intercept = True , copy_X = 'deprecated' , max_subpopulation = 10000.0...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TheilSenRegressor.html -
TfidfTransformer — scikit-learn 1.7.1 documenta...
norm = 'l2' , use_idf = True , smooth_idf = True , sublinear_tf...as idf(t) = log [ n / df(t) ] + 1 (if smooth_idf=False ), where...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfTransformer.html -
TunedThresholdClassifierCV — scikit-learn 1.7.1...
thresholds = 100 , cv = None , refit = True , n_jobs = None , random_state...weights = [ 0.9 , 0.1 ], class_sep = 0.8 , random_state = 42 ......scikit-learn.org/stable/modules/generated/sklearn.model_selection.TunedThresholdClassifierCV.html