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  1. Plot the decision surfaces of ensembles of tree...

    2 , w_pad = 0.2 , pad = 2.5 ) plt . show ()...pair in ([ 0 , 1 ], [ 0 , 2 ], [ 2 , 3 ]): for model in models...
    scikit-learn.org/stable/auto_examples/ensemble/plot_forest_iris.html
    Thu Sep 19 14:56:27 UTC 2024
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  2. Gaussian processes on discrete data structures ...

    2.0 , 2.0 , 3.0 , 3.0 ]) training_idx...Y [ training_idx ], width = 0.2 , color = "r" , alpha = 1 , label...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_on_structured_data.html
    Thu Sep 19 14:56:26 UTC 2024
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  3. A demo of K-Means clustering on the handwritten...

    can use PCA to project into a 2-dimensional space and plot the...reduced_data = PCA ( n_components = 2 ) . fit_transform ( data ) kmeans...
    scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_digits.html
    Thu Sep 19 14:56:26 UTC 2024
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  4. Curve Fitting with Bayesian Ridge Regression — ...

    sin ( 2 * np . pi * x ) size = 25 rng..., axes = plt . subplots ( 1 , 2 , figsize = ( 8 , 4 )) for i ,...
    scikit-learn.org/stable/auto_examples/linear_model/plot_bayesian_ridge_curvefit.html
    Thu Sep 19 14:56:26 UTC 2024
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  5. Density Estimation for a Gaussian mixture — sci...

    2 ) + np . array ([ 20 , 20 ]) #...random . randn ( n_samples , 2 ), C ) # concatenate the two datasets...
    scikit-learn.org/stable/auto_examples/mixture/plot_gmm_pdf.html
    Thu Sep 19 14:56:28 UTC 2024
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  6. Comparison of LDA and PCA 2D projection of Iris...

    the different samples on the 2 first principal components. Linear...target_names pca = PCA ( n_components = 2 ) X_r = pca . fit ( X ) . transform...
    scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_lda.html
    Thu Sep 19 14:56:26 UTC 2024
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  7. homogeneity_completeness_v_measure — scikit-lea...

    2 , 2 ], [ 0 , 0 , 1 , 2 , 2 , 2 ] >>> homogen...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.homogeneity_completeness_v_measure.html
    Thu Sep 19 14:56:28 UTC 2024
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  8. mean_squared_log_error — scikit-learn 1.5.2 doc...

    2 ], [ 7 , 6 ]] >>> y_pred = [[ 0.5 , 2 ], [ 1 , 2.5 ],...y_true = [ 3 , 5 , 2.5 , 7 ] >>> y_pred = [ 2.5 , 5 , 4 , 8 ] >>>...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_log_error.html
    Thu Sep 19 14:56:27 UTC 2024
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  9. cohen_kappa_score — scikit-learn 1.5.2 document...

    prior over the class labels [2] . Read more in the User Guide...Psychological Measurement 20(1):37-46. [ 2 ] R. Artstein and M. Poesio (2008)....
    scikit-learn.org/stable/modules/generated/sklearn.metrics.cohen_kappa_score.html
    Thu Sep 19 14:56:27 UTC 2024
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  10. Map data to a normal distribution — scikit-lear...

    figaspect ( 2 )) axes = axes . flatten () axes_idxs..., 9 ), ( 1 , 4 , 7 , 10 ), ( 2 , 5 , 8 , 11 ), ( 12 , 15 , 18...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_map_data_to_normal.html
    Thu Sep 19 14:56:26 UTC 2024
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