- Sort Score
- Num 10 results
- Language All
- Labels All
Results 951 - 960 of over 10,000 for 2 (0.17 seconds)
-
test.mpp
ipsum dolor sit amet - 開始タスク 2. Task 2: consectetur adipiscing elit...Test User - テストユーザー - Resource 2: Fess Team - Fessチーム Notes: This...raw.githubusercontent.com/codelibs/fess-testdata/master/files/msoffice/test.mpp -
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 -
Installation avec Docker (Détails)
être installé Docker Compose 2.0 ou ultérieur doit être installé...ose-opensearch3.yaml Méthode 2 : Clonage du dépôt avec Git Si...fess.codelibs.org/fr/15.4/install/install-docker.html -
AdditiveChi2Sampler — scikit-learn 1.8.0 ...
sample_steps = 2 , sample_interval = None ) [source]...original space is transformed into 2*sample_steps-1 features, where...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.AdditiveChi2Sampler.html -
plot_classifier_comparison.ipynb
n n_features=2, n_redundant=0, n_informative=2, random_state=1,... = np.random.RandomState(2)\nX += 2 * rng.uniform(size=X.sha...scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb -
maxabs_scale — scikit-learn 1.8.0 documen...
maxabs_scale >>> X = [[ - 2 , 1 , 2 ], [ - 1 , 0 , 1 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.maxabs_scale.html -
PCA — scikit-learn 1.8.0 documentation
[ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...3 , 2 ]]) >>> pca = PCA ( n_components = 2 ) >>>...scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html -
make_sparse_uncorrelated — scikit-learn 1...
0 ] + 2 * X [:, 1 ] - 2 * X [:, 2 ] - 1.5 * X [:, 3...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_uncorrelated.html -
homogeneity_score — scikit-learn 1.8.0 do...
2 ])) 1.000000 >>> print...([ 0 , 0 , 1 , 1 ], [ 0 , 1 , 2 , 3 ])) 1.000000 Clusters that...scikit-learn.org/stable/modules/generated/sklearn.metrics.homogeneity_score.html -
ClassicalMDS — scikit-learn 1.8.0 documen...
ClassicalMDS ( n_components = 2 , * , metric = 'euclidean' , metric_params...Parameters : n_components int, default=2 Number of embedding dimensions....scikit-learn.org/stable/modules/generated/sklearn.manifold.ClassicalMDS.html