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Robust linear model estimation using RANSAC — s...
n_features = 1 , n_informative = 1 , noise = 10 , coef...normal ( size = ( n_outliers , 1 )) y [: n_outliers ] = - 3 + 10...scikit-learn.org/stable/auto_examples/linear_model/plot_ransac.html -
Online learning of a dictionary of parts of fac...
- 1 )) buffer . append ( data ) index += 1 if index %...[MiniBatchKMeans] Reassigning 1 cluster centers. Partial fit of...scikit-learn.org/stable/auto_examples/cluster/plot_dict_face_patches.html -
Imputing missing values before building an esti...
True ) mses_diabetes [ 1 ], stds_diabetes [ 1 ] = get_score ( X_miss_diabetes...mses_california [ 1 ], stds_california [ 1 ] = get_score ( X_miss_california...scikit-learn.org/stable/auto_examples/impute/plot_missing_values.html -
3.2. Tuning the hyper-parameters of an estimato...
loguniform(1, 100) can be used instead of [1, 10, 100] . Mirroring...reference to the literature. 3.2.1. Exhaustive Grid Search # The...scikit-learn.org/stable/modules/grid_search.html -
Outlier detection with Local Outlier Factor (LO...
n_neighbors ) is typically set 1) greater than the minimum number...ground_truth [ - n_outliers :] = - 1 Fit the model for outlier detection...scikit-learn.org/stable/auto_examples/neighbors/plot_lof_outlier_detection.html -
Partial Dependence and Individual Conditional E...
versionadded:: 1.0 .. versionchanged:: 1.6 `verbose_feature_names_out`..... versionadded:: 1.5 .. versionchanged:: 1.7 The default value...scikit-learn.org/stable/auto_examples/inspection/plot_partial_dependence.html -
Gradient Boosting Out-of-Bag estimates — scikit...
subsample < 1.0 ), the estimates are derived...y = random_state . binomial ( 1 , p , size = n_samples ) X = np...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html -
Gaussian Processes regression: basic introducto...
reshape ( - 1 , 1 ) y = np . squeeze ( X * np...import RBF kernel = 1 * RBF ( length_scale = 1.0 , length_scale_bounds...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_noisy_targets.html -
Faces dataset decompositions — scikit-learn 1.8...
mean ( axis = 1 ) . reshape ( n_samples , - 1 ) print ( "Dataset...regularisation. Duality gap: 1.144e-05, tolerance: 1.173e-06 /home/circ...scikit-learn.org/stable/auto_examples/decomposition/plot_faces_decomposition.html -
Multiclass Receiver Operating Characteristic (R...
1 ], [ 0 , 1 ], "k--" , label = "Chance...xlim = ( - 0.01 , 1.01 ), ylim = ( - 0.01 , 1.01 ), ) We confirm...scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html