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lasso_path — scikit-learn 1.5.2 documentation
is: ( 1 / ( 2 * n_samples )) * || y - Xw ||^ 2_2 + alpha * ||...it is: ( 1 / ( 2 * n_samples )) * || Y - XW ||^ 2 _Fro + alpha...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lasso_path.html -
8.2. Computational Performance — scikit-learn 1...
2.1.2. Configuring Scikit-learn for...slow for your application. 8.2.2. Prediction Throughput # Another...scikit-learn.org/stable/computing/computational_performance.html -
make_moons — scikit-learn 1.5.2 documentation
2 , random_state = 42 ) >>> X . shape (200, 2) >>> y ....n_samples int or tuple of shape (2,), dtype=int, default=100 If int,...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html -
make_biclusters — scikit-learn 1.5.2 documentation
shape (2, 10) >>> cols . shape (2, 20) Gallery examples...shape = ( 10 , 20 ), n_clusters = 2 , random_state = 42 ... ) >>>...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_biclusters.html -
TfidfTransformer — scikit-learn 1.5.2 documenta...
2, 0, 1, 1, 1, 0, 0], [1, 0, 0,...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfTransformer.html -
ColumnTransformer — scikit-learn 1.5.2 document...
slice ( 2 , 4 ))]) >>> X = np . array ([[ 0. , 1. , 2. , 2. ], ......scikit-learn 1.2 Release Highlights for scikit-learn 1.2 Release Highlights...scikit-learn.org/stable/modules/generated/sklearn.compose.ColumnTransformer.html -
LogisticRegressionCV — scikit-learn 1.5.2 docum...
[: 2 , :]) array([0, 0]) >>> clf . predict_proba ( X [: 2 , :])...SAGA solver. Added in version 1.2: newton-cholesky solver. tol float,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html -
LogisticRegression — scikit-learn 1.5.2 documen...
[: 2 , :]) array([0, 0]) >>> clf . predict_proba ( X [: 2 , :])...‘lbfgs’ in 0.22. Added in version 1.2: newton-cholesky solver. max_iter...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html -
make_circles — scikit-learn 1.5.2 documentation
n_samples int or tuple of shape (2,), dtype=int, default=100 If int,...ndarray of shape (n_samples, 2) The generated samples. y ndarray...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_circles.html -
confusion_matrix — scikit-learn 1.5.2 documenta...
= [ 2 , 0 , 2 , 2 , 0 , 1 ] >>> y_pred = [ 0 , 0 , 2 , 2 , 0...0 , 2 ] >>> confusion_matrix ( y_true , y_pred ) array([[2, 0,...scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html