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Approximate nearest neighbors in TSNE — scikit-...
n_samples = 20_000 )), ] n_iter = 500 perplexity = 30 metric = "euclidean"...n_neighbors = 5 , metric = "euclidean" , method = "sw-graph" ,...scikit-learn.org/stable/auto_examples/neighbors/approximate_nearest_neighbors.html -
Comparing Linear Bayesian Regressors — scikit-l...
n_informative = 10 , noise = 8 , coef = True , random_state = 42 , )...linthresh = 10e-4 , vmin =- 80 , vmax = 80 ), cbar_kws = { "label"...scikit-learn.org/stable/auto_examples/linear_model/plot_ard.html -
Plot classification probability — scikit-learn ...
vmin = 0 , vmax = 1 , cmap = "Blues" , levels = levels ,...Nystroem ( kernel = "rbf" , gamma = 5e-1 , n_components = 50 , random_state...scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html -
Time-related feature engineering — scikit-learn...
figsize = ( 12 , 4 )) y . hist ( bins = 30 , ax = ax ) _ = ax ....axes = plt . subplots ( nrows = 2 , ncols = 3 , figsize = ( 13...scikit-learn.org/stable/auto_examples/applications/plot_cyclical_feature_engineering.html -
PartialDependenceDisplay — scikit-learn 1.7.0 d...
method = 'auto' , n_jobs = None , verbose = 0 , line_kw = None...ice_lines_kw = None , pd_line_kw = None , contour_kw = None , ax = None...scikit-learn.org/stable/modules/generated/sklearn.inspection.PartialDependenceDisplay.html -
Concentration Prior Type Analysis of Variation ...
s = 5 , marker = "o" , color = colors [ y ], alpha = 0.8 )...width = 0.9 , color = "#56B4E9" , zorder = 3 , align = "center"...scikit-learn.org/stable/auto_examples/mixture/plot_concentration_prior.html -
Release Highlights for scikit-learn 0.22 — scik...
y_test = train_test_split ( X , y , random_state = 42 ) svc = SVC...LinearSVC X , y = load_iris ( return_X_y = True ) estimators = [ ( "rf"...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_22_0.html -
Comparing Target Encoder with Other Encoders — ...
wine_reviews = fetch_openml ( data_id = 42074 , as_frame = True ) df...handle_unknown = "ignore" , max_categories = 20 , sparse_output = False...scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder.html -
NearestNeighbors — scikit-learn 1.7.0 documenta...
n_neighbors = 5 , radius = 1.0 , algorithm = 'auto' , leaf_size = 30 ,..., metric = 'minkowski' , p = 2 , metric_params = None , n_jobs...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestNeighbors.html -
Comparison of kernel ridge regression and SVR —...
c = "k" , label = "data" , zorder = 1 , edgecolors = ( 0 ,..."o-" , color = "r" if name == "SVR" else "g" , label = " %s (train)"...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_ridge_regression.html