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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 -
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 -
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 -
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 -
4. Metadata Routing — scikit-learn 1.7.2 ...
1.1. Weighted scoring and fitting...param_grid = { "C" : [ 0.1 , 1 ]} >>> lr = LogisticRegression...scikit-learn.org/stable/metadata_routing.html -
compute_sample_weight — scikit-learn 1.7....
[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...instead of [{1:1}, {2:5}, {3:1}, {4:1}] . The "balanced"...scikit-learn.org/stable/modules/generated/sklearn.utils.class_weight.compute_sample_weight.html -
Nearest Neighbors regression — scikit-lea...
1 , i + 1 ) plt . scatter ( X_train...sort ( 5 * rng . rand ( 40 , 1 ), axis = 0 ) X_test = np . linspace...scikit-learn.org/stable/auto_examples/neighbors/plot_regression.html -
compute_optics_graph — scikit-learn 1.7.2...
1.41, 1.41, 1. , 1. , 4.12]) >>>...min_samples int > 1 or float between 0 and 1 The number of samples...scikit-learn.org/stable/modules/generated/sklearn.cluster.compute_optics_graph.html -
Model Selection — scikit-learn 1.7.2 docu...
Examples related to the sklearn.model_selection module. Balance model complexity and cross-validated score Class Likelihood Ratios to measure classification performance Comparing randomized search ...scikit-learn.org/stable/auto_examples/model_selection/index.html -
Isotonic Regression — scikit-learn 1.7.2 ...
An illustration of the isotonic regression on generated data (non-linear monotonic trend with homoscedastic uniform noise). The isotonic regression algorithm finds a non-decreasing approximation of...scikit-learn.org/stable/auto_examples/miscellaneous/plot_isotonic_regression.html