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Feature importances with a forest of trees R...
shape [ 1 ])] forest = RandomForestClassifi...sp; 2 min_samples_leaf 1 min_weight_fraction_leaf ...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_importances.html -
Visualization of MLP weights on MNIST — s...
Iteration 1, loss = 0.44139186 Iteration 2,..."mnist_784" , version = 1 , return_X_y = True , as_frame...scikit-learn.org/stable/auto_examples/neural_networks/plot_mnist_filters.html -
Map data to a normal distribution — sciki...
1 ) # lognormal distribution X_lognormal.... uniform ( low = 0 , high = 1 , size = size ) # bimodal distribution...scikit-learn.org/stable/auto_examples/preprocessing/plot_map_data_to_normal.html -
Label Propagation digits: Active learning ̵...
support 0 1.00 1.00 1.00 22 1 0.85 1.00 0.92 22 2 1.00 1.00 1.00 28...support 0 1.00 1.00 1.00 22 1 0.85 1.00 0.92 22 2 1.00 1.00 1.00 27...scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_digits_active_learni... -
Lagged features for time series forecasting ...
1 ± 1.1" "19.9 ± 1.6" "22.7 ± 3.1"..."17.1 ± 1.1" "19.9 ± 1.6" "22.7 ± 3.1"...scikit-learn.org/stable/auto_examples/applications/plot_time_series_lagged_features.html -
Robust vs Empirical covariance estimate —...
5 )[ 1 : - 1 ], ) ) . astype ( int ) # definition...= 11 ) plt . subplot ( 2 , 1 , 1 ) lw = 2 plt . errorbar ( range_n_outliers...scikit-learn.org/stable/auto_examples/covariance/plot_robust_vs_empirical_covariance.html -
Plot individual and voting regression predictio...
random_state = 1 ) reg2 = RandomForestRegresso ( random_state = 1 ) reg3...learning_rate 0.1 n_estimators 100 subsample 1.0 criterion ...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_regressor.html -
7.4. Imputation of missing values — sciki...
array ([[ - 1 , - 1 , 1 , 3 ], ... [ 4 , - 1 , 0 , - 1 ], ... [...= sp . csc_matrix ([[ 1 , 2 ], [ 0 , - 1 ], [ 8 , 4 ]]) >>>...scikit-learn.org/stable/modules/impute.html -
Density Estimation for a Gaussian mixture ̵...
norm = LogNorm ( vmin = 1.0 , vmax = 1000.0 ), levels =...X_train [:, 0 ], X_train [:, 1 ], 0.8 ) plt . title ( "Negative...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_pdf.html -
Multiclass sparse logistic regression on 20newg...
accuracies = [ 1 / n_classes ] times = [ 0 ] densities = [ 1 ] model_params..."iters" ][ - 1 ], model , times [ - 1 ]) ) fig = plt . figure...scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_20newsgroups.html