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ensemble.rst.txt
1, 2, np.nan]).reshape(-1, 1) >>> y = [0, 0, 1, 1] >>> gbdt...np.nan, 1, 2, np.nan]).reshape(-1, 1) >>> y = [0, 1, 0, 0, 1] >>>...scikit-learn.org/stable/_sources/modules/ensemble.rst.txt -
neighbors.rst.txt
array([[-1, -1], [-2, -1], [-3, -2], [1, 1], [2, 1], [3, 2]])...np.array([[-1, -1], [-2, -1], [-3, -2], [1, 1], [2, 1], [3, 2]])...scikit-learn.org/stable/_sources/modules/neighbors.rst.txt -
plot_kmeans_digits.rst.txt
1].min() - 1, reduced_data[:, 1].max() + 1 xx, yy =...reduced_data[:, 0].min() - 1, reduced_data[:, 0].max() + 1 y_min, y_max =...scikit-learn.org/stable/_sources/auto_examples/cluster/plot_kmeans_digits.rst.txt -
plot_pca_iris.rst.txt
1].mean() + 1.5, X[y == label, 2].mean(),...np.choose(y, [1, 2, 0]).astype(float) ax.scatter(X[:, 0], X[:, 1], X[:,...scikit-learn.org/stable/_sources/auto_examples/decomposition/plot_pca_iris.rst.txt -
plot_adaboost_regression.rst.txt
random_state=rng ) regr_1.fit(X, y) regr_2.fit(X, y) y_1 = regr_1.predict(X)...plt.plot(X, y_1, color=colors[1], label="n_estimators=1", linewidth=2)...scikit-learn.org/stable/_sources/auto_examples/ensemble/plot_adaboost_regression.rst.txt -
testimonials.rst.txt
text-box Scikit-learn is our #1 toolkit for all things machine...used for originating at least 1 billion GBP worth of Zopa loans....scikit-learn.org/stable/_sources/testimonials/testimonials.rst.txt -
v1.3.rst.txt
_changes_1_3_1: Version 1.3.1 ========== **September..... _release_notes_1_3: ========== Version 1.3 ========== For a...scikit-learn.org/stable/_sources/whats_new/v1.3.rst.txt -
install.rst.txt
Scikit-learn 1.0 supported Python 3.7-3.10. Scikit-learn 1.1, 1.2 and...and 1.3 support Python 3.8-3.12 Scikit-learn 1.4 requires Python...scikit-learn.org/stable/_sources/install.rst.txt -
v1.4.rst.txt
_changes_1_4_1: Version 1.4.1 ========== **February..... _release_notes_1_4: ========== Version 1.4 ========== For a...scikit-learn.org/stable/_sources/whats_new/v1.4.rst.txt -
getting_started.rst.txt
dataset is easy array([1., 1., 1., 1., 1.]) Automatic parameter...ransform(X) array([[-1., 1.], [ 1., -1.]]) Sometimes, you want...scikit-learn.org/stable/_sources/getting_started.rst.txt