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Forecasting of CO2 level on Mona Loa dataset us...
date ( "year" , "month" , "day" ), "co2" ) co2_data . head () shape:...frame [[ "year" , "month" , "day" , "co2" ]]) . select ( pl . date...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_co2.html -
Demo of HDBSCAN clustering algorithm — scikit-l...
centers = [[ 1 , 1 ], [ - 1 , - 1 ], [ 1.5 , - 1.5 ]] X , labels_true...cluster_std = [ 0.4 , 0.1 , 0.75 ], random_state = 0 ) plot ( X , labels...scikit-learn.org/stable/auto_examples/cluster/plot_hdbscan.html -
Outlier detection on a real data set — scikit-l...
xycoords = "data" , textcoords = "data" , xytext = ( 3 , 1.25 ), bbox...= "round" , fc = "0.8" ) arrow_args = dict ( arrowstyle = "->"...scikit-learn.org/stable/auto_examples/applications/plot_outlier_detection_wine.html -
sklearn — scikit-learn 1.7.2 documentation
scikit-learn configuration. set_config Set global scikit-learn...to top Ctrl + K GitHub Choose version sklearn # Configure global...scikit-learn.org/stable/api/sklearn.html -
k_means — scikit-learn 1.7.2 documentation
[ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2 ], [ 10 , 4 ], [ 10 , 0 ]])...array. init {‘k-means++’, ‘random’}, callable or array-like of...scikit-learn.org/stable/modules/generated/sklearn.cluster.k_means.html -
calibration_curve — scikit-learn 1.7.2 document...
np . array ([ 0.1 , 0.2 , 0.3 , 0.4 , 0.65 , 0.7 , 0.8 , 0.9...y_true = np . array ([ 0 , 0 , 0 , 0 , 1 , 1 , 1 , 1 , 1 ]) >>> y_pred...scikit-learn.org/stable/modules/generated/sklearn.calibration.calibration_curve.html -
BiclusterMixin — scikit-learn 1.7.2 documentation
= np . array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7 ],...bicluster . get_indices ( 0 ) (array([0, 1, 2, 3, 4, 5]), array([0,...scikit-learn.org/stable/modules/generated/sklearn.base.BiclusterMixin.html -
sklearn.metrics — scikit-learn 1.7.2 documentation
Hamming loss. hinge_loss Average hinge loss (non-regularized). jaccard_score...regression loss. r2_score \(R^2\) (coefficient of determination) regression...scikit-learn.org/stable/api/sklearn.metrics.html -
orthogonal_mp_gram — scikit-learn 1.7.2 documen...
12. (December 1993), pp. 3397-3415. ( https://www.di.ens.fr/~m...orthogonal_mp_gram ( X . T @ X , X . T @ y ) >>> coef . shape (100,) >>> X...scikit-learn.org/stable/modules/generated/sklearn.linear_model.orthogonal_mp_gram.html -
max_error — scikit-learn 1.7.2 documentation
y_true = [ 3 , 2 , 7 , 1 ] >>> y_pred = [ 4 , 2 , 7 , 1 ] >>> max_error...value (the best value is 0.0). Examples >>> from sklearn.metrics...scikit-learn.org/stable/modules/generated/sklearn.metrics.max_error.html