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feature_extraction.rst.txt
:math:`\text{tf-idf}_{\text{term1}} = \text{tf} \times \text{idf}...:math:`\text{tf-idf(t,d)}=\text{tf(t,d)} \times \text{idf(t)}`....scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt -
test.mm
1"> <node TEXT="Lorem ipsum. (ロ...raw.githubusercontent.com/codelibs/fess-testdata/master/xml/test.mm -
plot_classifier_comparison.rst.txt
and test part X, y = ds X_train, X_test, y_train, y_test = train_test_split(...Plot the testing points ax.scatter( X_test[:, 0], X_test[:, 1],...scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt -
testimonials.rst.txt
div:: sk-text-image-grid-large .. div:: text-box Scikit-learn..... div:: sk-text-image-grid-large .. div:: text-box Scikit-learn...scikit-learn.org/stable/_sources/testimonials/testimonials.rst.txt -
test.js
function foo() { var bar = "Lorem ipsum. (ロレム・イプサム) 吾輩は猫である。"; }raw.githubusercontent.com/codelibs/fess-testdata/master/source_code/test.js -
support.rst.txt
about repository updates and test failures on the `scikit-learn-commits...scikit-learn.org/stable/_sources/support.rst.txt -
supervised_learning.rst.txt
.. _supervised-learning: Supervised learning ---------- .. toctree:: :maxdepth: 2 modules/linear_model modules/lda_qda.rst modules/kernel_ridge.rst modules/svm modules/sgd modules/neighbors modules...scikit-learn.org/stable/_sources/supervised_learning.rst.txt -
user_guide.rst.txt
.. _user_guide: ========== User Guide ========== .. toctree:: :numbered: :maxdepth: 3 supervised_learning.rst unsupervised_learning.rst model_selection.rst inspection.rst visualizations.rst data_tr...scikit-learn.org/stable/_sources/user_guide.rst.txt -
preprocessing.rst.txt
K_{test} - 1'_{\text{n}_{samples}} K - K_{test} 1_{\text{n}_{samples}}...>>> X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=42)...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt -
clustering.rst.txt
math:: \text{ARI} = \frac{\text{RI} - E[\text{RI}]}{\max(\text{RI})...math:: \text{AMI} = \frac{\text{MI} - E[\text{MI}]}{\text{mean}(H(U),...scikit-learn.org/stable/_sources/modules/clustering.rst.txt