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sklearn.multiclass — scikit-learn 1.6.0 documen...
Multiclass learning algorithms. one-vs-the-rest / one-vs-all, one-vs-one, error correcting output codes. The estimators provided in this module are meta-estimators: they require a base estimator to...scikit-learn.org/stable/api/sklearn.multiclass.html -
sklearn.svm — scikit-learn 1.6.0 documentation
Support vector machine algorithms. User guide. See the Support Vector Machines section for further details.scikit-learn.org/stable/api/sklearn.svm.html -
sklearn.utils — scikit-learn 1.6.0 documentation
Various utilities to help with development. Developer guide. See the Utilities for Developers section for further details. Input and parameter validation: Functions to validate input and parameters...scikit-learn.org/stable/api/sklearn.utils.html -
get_config — scikit-learn 1.6.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version get_config # sklearn. get_config ( ) [source] # Retri...scikit-learn.org/stable/modules/generated/sklearn.get_config.html -
Caching nearest neighbors — scikit-learn 1.6.0 ...
= True ) n_neighbors_list = [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 ,...fig , axes = plt . subplots ( 1 , 2 , figsize = ( 8 , 4 )) axes...scikit-learn.org/stable/auto_examples/neighbors/plot_caching_nearest_neighbors.html -
silhouette_samples — scikit-learn 1.6.0 documen...
The best value is 1 and the worst value is -1. Values near 0 indicate...2 <= n_labels <= n_samples - 1 . This function returns the Silhouette...scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_samples.html -
SVM: Maximum margin separating hyperplane — sci...
levels = [ - 1 , 0 , 1 ], alpha = 0.5 , linestyles...support_vectors_ [:, 1 ], s = 100 , linewidth = 1 , facecolors = "none"...scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane.html -
HuberRegressor vs Ridge on dataset with strong ...
) epsilon_values = [ 1 , 1.5 , 1.75 , 1.9 ] for k , epsilon in...n_samples = 20 , n_features = 1 , random_state = 0 , noise = 4.0...scikit-learn.org/stable/auto_examples/linear_model/plot_huber_vs_ridge.html -
Class Likelihood Ratios to measure classificati...
1 , 0.8 , 6 ) weights = weights [:: - 1 ] # fit and...10_000 , weights = [ 0.9 , 0.1 ], random_state = 0 ) print (...scikit-learn.org/stable/auto_examples/model_selection/plot_likelihood_ratios.html -
Partial Dependence and Individual Conditional E...
rstride = 1 , cstride = 1 , cmap = plt . cm . BuPu...The example is inspired by [ 1 ] . # Authors: The scikit-learn...scikit-learn.org/stable/auto_examples/inspection/plot_partial_dependence.html