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RandomForestRegressor — scikit-learn 1.7.1 docu...
“absolute_error”, “friedman_mse”, “poisson”}, default=”squared_error” The...changed from 10 to 100 in 0.22. criterion {“squared_error”, “absolute_error”,...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html -
GradientBoostingRegressor — scikit-learn 1.7.1 ...
{‘squared_error’, ‘absolute_error’, ‘huber’, ‘quantile’}, default=’squared_error’...= None , tol = 0.0001 , ccp_alpha = 0.0 ) [source] # Gradient...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html -
MiniBatchKMeans — scikit-learn 1.7.1 documentation
generate. init {‘k-means++’, ‘random’}, callable or array-like of...= 'k-means++' , max_iter = 100 , batch_size = 1024 , verbose =...scikit-learn.org/stable/modules/generated/sklearn.cluster.MiniBatchKMeans.html -
MultiTaskElasticNetCV — scikit-learn 1.7.1 docu...
in [.1, .5, .7, .9, .95, .99, 1] . eps float, default=1e-3 Length...* l1_ratio * || W || _21 + 0.5 * alpha * ( 1 - l1_ratio ) * ||...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNetCV.html -
LatentDirichletAllocation — scikit-learn 1.7.1 ...
evaluate_every = -1 , total_samples = 1000000.0 , perp_tol = 0.1 , mean_change_tol...model.components_ / model.components_.sum(axis=1)[:, np.newaxis]...scikit-learn.org/stable/modules/generated/sklearn.decomposition.LatentDirichletAllocation.html -
RidgeClassifierCV — scikit-learn 1.7.1 document...
array-like of shape (n_alphas,), default=(0.1, 1.0, 10.0) Array...RidgeClassifierCV ( alphas = [ 1e-3 , 1e-2 , 1e-1 , 1 ]) . fit ( X , y ) >>>...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeClassifierCV.html -
OrthogonalMatchingPursuitCV — scikit-learn 1.7....
1 ,]) array([-78.3854]) fit ( X , y , ** fit_params ) [source]...= 5 ) . fit ( X , y ) >>> reg . score ( X , y ) 0.9991 >>> reg...scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuitCV.html -
sklearn.model_selection — scikit-learn 1.7.1 do...
Group(s) Out cross-validator. LeavePOut Leave-P-Out cross-validator....cross-validator. LeaveOneOut Leave-One-Out cross-validator. LeavePGroupsOut...scikit-learn.org/stable/api/sklearn.model_selection.html -
NuSVC — scikit-learn 1.7.1 documentation
‘poly’, ‘rbf’, ‘sigmoid’, ‘precomputed’} or callable, default=’rbf’...NuSVC ( * , nu = 0.5 , kernel = 'rbf' , degree = 3 , gamma = 'scale'...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVC.html -
StackingRegressor — scikit-learn 1.7.1 document...
RidgeCV ()), ... ( 'svr' , LinearSVR ( random_state = 42 )) ... ] >>>...X_test , y_test ) 0.3... fit ( X , y , ** fit_params ) [source] #...scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingRegressor.html