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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 -
Comparison between grid search and successive h...
scikit-learn.org/stable/auto_examples/model_selection/plot_successive_halving_heatmap.html -
Single estimator versus bagging: bias-variance ...
n_estimators - 1 : plt . legend ( loc = ( 1.1 , 0.5 )) plt ....axis = 1 )) ** 2 y_var = np . var ( y_predict , axis = 1 ) print...scikit-learn.org/stable/auto_examples/ensemble/plot_bias_variance.html -
Compressive sensing: tomography reconstruction ...
floor_x + 1 )), np . hstack (( 1 - alpha , alpha ))...int ), ( points [ 1 ]) . astype ( int )] = 1 mask = ndimage ....scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.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 -
Nested versus non-nested cross-validation — sci...
= { "C" : [ 1 , 10 , 100 ], "gamma" : [ 0.01 , 0.1 ]} # We will...Iris Dataset" , x = 0.5 , y = 1.1 , fontsize = "15" , ) # Plot...scikit-learn.org/stable/auto_examples/model_selection/plot_nested_cross_validation_iris.html -
Hashing feature transformation using Totally Ra...
set_ylim ( - 1.4 , 1.4 ) ax . set_xlim ( - 1.4 , 1.4 ) ax . set_xticks...set_ylim ( - 1.4 , 1.4 ) ax . set_xlim ( - 1.4 , 1.4 ) ax . set_xticks...scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_embedding.html -
7. Dataset transformations — scikit-learn 1.8.0...
1. Pipelines and composite estimators 7.1.1. Pipeline:...estimators 7.1.2. Transforming target in regression 7.1.3. FeatureUnion:...scikit-learn.org/stable/data_transforms.html -
Comparing randomized search and grid search for...
= 3 ): for i in range ( 1 , n_top + 1 ): candidates = np . flatnonzero...parameter settings. Model with rank: 1 Mean validation score: 0.993 (std:...scikit-learn.org/stable/auto_examples/model_selection/plot_randomized_search.html -
9.3. Parallelism, resource management, and conf...
1.1. Higher-level parallelism with...management, and configuration # 9.3.1. Parallelism # Some scikit-learn...scikit-learn.org/stable/computing/parallelism.html