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sklearn.calibration — scikit-learn 1.7.2 ...
Methods for calibrating predicted probabilities. User guide. See the Probability calibration section for further details. Visualization:scikit-learn.org/stable/api/sklearn.calibration.html -
sklearn.decomposition — scikit-learn 1.7....
Matrix decomposition algorithms. These include PCA, NMF, ICA, and more. Most of the algorithms of this module can be regarded as dimensionality reduction techniques. User guide. See the Decomposing...scikit-learn.org/stable/api/sklearn.decomposition.html -
Introducing the set_output API — scikit-l...
798301 -1.271411 -1.327605 12 -1.244466 -0.086944 -1.327407 -1.459074...60 5.0 2.0 3.5 1.0 1 4.9 3.0 1.4 0.2 8 4.4 2.9 1.4 0.2 93 5.0 2.3...scikit-learn.org/stable/auto_examples/miscellaneous/plot_set_output.html -
Plot classification probability — scikit-...
GaussianProcessClass ( kernel = 1.0 * RBF ([ 1.0 , 1.0 ])), "Logistic...LogisticRegression ( C = 0.1 ), "Logistic regression \n (C=1)" : LogisticRegression...scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html -
SVM: Weighted samples — scikit-learn 1.7....
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 -
Decision Tree Regression — scikit-learn 1...
RandomState ( 1 ) X = np . sort ( 5 * rng . rand ( 80 , 1 ), axis =...RandomState ( 1 ) X = np . sort ( 200 * rng . rand ( 100 , 1 ) - 100...scikit-learn.org/stable/auto_examples/tree/plot_tree_regression.html -
Underfitting vs. Overfitting — scikit-lea...
subplot ( 1 , len ( degrees ), i + 1 ) plt . setp ( ax...function (polynomial with degree 1) is not sufficient to fit the...scikit-learn.org/stable/auto_examples/model_selection/plot_underfitting_overfitting.html -
FeatureHasher and DictVectorizer Comparison ...
'example': 1, 'but': 1, 'this': 1, 'another':...tokenize ( doc ): freq [ tok ] += 1 return freq token_freqs ( "That...scikit-learn.org/stable/auto_examples/text/plot_hashing_vs_dict_vectorizer.html -
Visualizations with Display Objects — sci...
C 1.0 fit_intercept True intercept_scaling 1 class_weight ...C 1.0 fit_intercept True intercept_scaling 1 class_weight ...scikit-learn.org/stable/auto_examples/miscellaneous/plot_display_object_visualization.html -
RBF SVM parameters — scikit-learn 1.7.2 d...
1 , 1e2 ] gamma_2d_range = [ 1e-1 , 1 , 1e1 ] classifiers...np.float64(1.0), 'gamma': np.float64(0.1)} with a score...scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html