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Compressive sensing: tomography reconstruction ...
x - l / 2.0 ) ** 2 + ( y - l / 2.0 ) ** 2 < ( l / 2.0 ) **...** 2 mask = np . zeros (( l , l )) points = l * rs . rand ( 2 ,...scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.html -
Feature agglomeration vs. univariate selection ...
selection # This example compares 2 dimensionality reduction strategies:.... randn ( n_samples , size ** 2 ) for x in X : # smooth data x...scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.... -
plot_multi_metric_evaluation.zip
range(2, 403, 20)}, scoring=scoring, refit="AUC", n_jobs=2, re...ax.plot( [ X_axis[best_index], ] * 2, [0, best_score], linestyle="-.",...scikit-learn.org/stable/_downloads/535778bfbc9b4881da3e662bc2ea8484/plot_multi_metric_evaluation.zip -
auc — scikit-learn 1.8.0 documentation
2 , 2 ]) >>> y_score = np...y_true , y_score , pos_label = 2 ) >>> metrics . auc (...scikit-learn.org/stable/modules/generated/sklearn.metrics.auc.html -
linear_model.rst.txt
\frac{n}{2} \log(2 \pi) - \frac{n}{2} \log(\sigma^2) - \frac{\sum_{i=1}^{n}...- \hat{y}_i)^2}{2\sigma^2} where :math:`\sigma^2` is an estimate...scikit-learn.org/stable/_sources/modules/linear_model.rst.txt -
Plotting Learning Curves and Checking Models’ S...
subplots ( nrows = 2 , ncols = 2 , figsize = ( 16 , 12 ),...subplots ( nrows = 1 , ncols = 2 , figsize = ( 10 , 6 ), sharey...scikit-learn.org/stable/auto_examples/model_selection/plot_learning_curve.html -
Face completion with a multi-output estimators ...
n_pixels // 2 :] X_test = test [:, : ( n_pixels + 1 ) // 2 ] y_test.... figure ( figsize = ( 2.0 * n_cols , 2.26 * n_faces )) plt ....scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html -
Using KBinsDiscretizer to discretize continuous...
subplots ( ncols = 2 , sharey = True , figsize = (...predict ( line ), linewidth = 2 , color = "green" ,...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization.html -
PolynomialFeatures — scikit-learn 1.8.0 d...
degree-2 polynomial features are [1, a, b, a^2, ab, b^2]. Read...etc. excluded: x[0] ** 2 , x[0] ** 2 * x[1] , etc. include_bias...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html -
TheilSenRegressor — scikit-learn 1.8.0 do...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...n_samples = 200 , n_features = 2 , noise = 4.0 , random_state =...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TheilSenRegressor.html