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Precision-Recall — scikit-learn 1.8.0 doc...
versionchanged:: 1.3 The `"auto"` option is added in version 1.3 and will...intercept term: `[x_1, ..., x_n, 1]`, where 1 corresponds to the intercept....scikit-learn.org/stable/auto_examples/model_selection/plot_precision_recall.html -
RBF — scikit-learn 1.8.0 documentation
) >>> kernel = 1.0 * RBF ( 1.0 ) >>> gpc = ...ernels. RBF ( length_scale = 1.0 , length_scale_bounds = (1e-05,...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RBF.html -
Successive Halving Iterations — scikit-le...
[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...scikit-learn.org/stable/auto_examples/model_selection/plot_successive_halving_iterations.html -
ledoit_wolf_shrinkage — scikit-learn 1.8....
regularized (shrunk) covariance is: (1 - shrinkage) * cov + shrinkage...scikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf_shrinkage.html -
2.3. Clustering — scikit-learn 1.8.0 docu...
1 , 1 , 1 ] >>> labels_pred = [ 0 , 0 , 1 , 1 , 2...0 , 1 , 1 , 1 ] >>> labels_pred = [ 0 , 0 , 1 , 1 , 2...scikit-learn.org/stable/modules/clustering.html -
ledoit_wolf — scikit-learn 1.8.0 document...
regularized (shrunk) covariance is: (1 - shrinkage) * cov + shrinkage...scikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf.html -
SVM: Weighted samples — scikit-learn 1.8....
n_clusters_per_class = 1 , class_sep = 1.1 , weights = [ 0.9 , 0.1 ], random_state...( X_plot [:, 0 ], X_plot [:, 1 ], c = y_plot , s = 100 * sample_weight...scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.html -
Gradient Boosting regularization — scikit...
random_state = 1 ) # map labels from {-1, 1} to {0, 1} labels , y..."learning_rate" : 1.0 , "subsample" : 1.0 }), ( "...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regularization.html -
KernelDensity — scikit-learn 1.8.0 docume...
log_density array([-1.52955942, -1.51462041, -1.60244657]) fit (...KernelDensity ( * , bandwidth = 1.0 , algorithm = 'auto' , kernel...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KernelDensity.html -
Visualizations with Display Objects — sci...
deprecated:: 1.8 `penalty` was deprecated in version 1.8 and will...with `0 = l1_ratio = 1`. Setting `l1_ratio=1` gives a pure L1-penalty,...scikit-learn.org/stable/auto_examples/miscellaneous/plot_display_object_visualization.html