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RBF SVM parameters — scikit-learn 1.8.0 d...
problem involving only 2 input features and 2 possible target classes...sub-sample the dataset to keep only 2 classes and make it a binary classification...scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html -
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 -
Procedimientos de Actualización
2/fess-15.3.2.tar.gz $ tar -xzf fess-15.3.2.tar.gz Copie...-Uvh fess-15.3.2.rpm # DEB $ sudo dpkg -i fess-15.3.2.deb Nota Los...fess.codelibs.org/es/15.3/install/upgrade.html -
日志配置
/^\d{4}-\d{2}-\d{2}/ format1 /^(?<time>\d{4}-\d{2}-\d{2} \d{...\d{2}:\d{2}:\d{2},\d{3}) \[(?<thread>.*?)\] (?<level&g...fess.codelibs.org/zh-cn/15.3/config/admin-logging.html -
Sparse inverse covariance estimation — sc...
As can be seen on figure 2, the grid to compute the cross-validation...enumerate ( covs ): plt . subplot ( 2 , 4 , i + 1 ) plt . imshow ( this_cov...scikit-learn.org/stable/auto_examples/covariance/plot_sparse_cov.html -
make_hastie_10_2 — scikit-learn 1.8.0 doc...
2. The ten features are standard...= 1 if np . sum ( X [ i ] ** 2 ) > 9.34 else - 1 Read more...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_hastie_10_2.html -
fbeta_score — scikit-learn 1.8.0 document...
2 , 0 , 1 , 2 ] >>> y_pred = [ 0 , 2 , 1 , 0...\frac{(1 + \beta^2) \text{tp}} {(1 + \beta^2) \text{tp} + \text{fp}...scikit-learn.org/stable/modules/generated/sklearn.metrics.fbeta_score.html -
Jupyter - IBM Developer
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Curve Fitting with Bayesian Ridge Regression &#...
sin ( 2 * np . pi * x ) size = 25 rng..., axes = plt . subplots ( 1 , 2 , figsize = ( 8 , 4 )) for i ,...scikit-learn.org/stable/auto_examples/linear_model/plot_bayesian_ridge_curvefit.html -
PyTorch - IBM Developer
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