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about.rst.txt
div:: sk-text-image-grid-small .. div:: text-box `:probabl...... div:: sk-text-image-grid-small .. div:: text-box The `Members...scikit-learn.org/stable/_sources/about.rst.txt -
linear_model.rst.txt
cost of :math:`O(n_{\text{samples}} n_{\text{features}}^2)`, assuming...that :math:`n_{\text{samples}} \geq n_{\text{features}}`. .....scikit-learn.org/stable/_sources/modules/linear_model.rst.txt -
cross_validation.rst.txt
available data as a **test set** ``X_test, y_test``. Note that the...>>> X_train, X_test, y_train, y_test = train_test_split( ... X,...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
feature_selection.rst.txt
based on univariate statistical tests. It can be seen as a preprocessing...common univariate statistical tests for each feature: false positive...scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt -
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 -
contributing.rst.txt
sklearn/linear_model/tests/test_logistic.py` to run the tests specific to...center .. _testing_coverage: Testing and improving test coverage...scikit-learn.org/dev/_sources/developers/contributing.rst.txt -
governance.rst.txt
.. _governance: ========== Scikit-learn governance and decision-making ========== The purpose of this document is to formalize the governance process used by the scikit-learn project, to clarify ho...scikit-learn.org/stable/_sources/governance.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 -
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