- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 1071 - 1080 of 3,208 for 2 (0.1 sec)
-
Visualizing cross-validation behavior in scikit...
ylim = [ n_splits + 2.2 , - 0.2 ], xlim = [ 0 , 100 ], )...cmap = cmap_cv , vmin =- 0.2 , vmax = 1.2 , ) # Plot the data classes...scikit-learn.org/stable/auto_examples/model_selection/plot_cv_indices.html -
Release Highlights for scikit-learn 1.7 — sciki...
2 Release Highlights for scikit-learn 1.2 Release Highlights...False ), LogisticRegression ( C = 2.0 )) model Pipeline(steps=[('standardscaler',...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_7_0.html -
移行 0.9.5.1 to 0.9.5.2 | DBFlute
dbflute.seasar.org/ja/environment/upgrade/migration/migrate0951to0952.html -
Fitting an Elastic Net with a precomputed Gram ...
2.65799352e+02], ..., [-2.25349312e+02, -1.07963978e+03,...-4.48938813e+02, -1.03237920e+03, ..., -2.25349312e+02, -3.53959628e+02,...scikit-learn.org/stable/auto_examples/linear_model/plot_elastic_net_precomputed_gram_matrix_with_... -
Plot multi-class SGD on the iris dataset — scik...
: 2 ] y = iris . target colors = "bry"...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_iris.html -
Hashing feature transformation using Totally Ra...
TruncatedSVD ( n_components = 2 ) X_reduced = svd . fit_transform...scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_embedding.html -
Comparing random forests and the multi-output m...
random_state = 2 ) regr_rf . fit ( X_train , y_train..."target 1" ) plt . ylabel ( "target 2" ) plt . title ( "Comparing random...scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_regression_multioutput.html -
Gaussian process classification (GPC) on iris d...
: 2 ] # we only take the first two...m_max]x[y_min, y_max]. plt . subplot ( 1 , 2 , i + 1 ) Z = clf . predict_proba...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_iris.html -
7.8. Pairwise metrics, Affinities and Kernels —...
for all a and b 2. d ( a , b ) == 0 , if and only...pairwise_kernels >>> X = np . array ([[ 2 , 3 ], [ 3 , 5 ], [ 5 , 8 ]])...scikit-learn.org/stable/modules/metrics.html -
Part 6: Analyzer in Japanese
analysis Analyzer for all languages: 2-gram based segmentation A search...will explain using Fess 12.1.2. The Fess ZIP file can be obtained...fess.codelibs.org/articles/6/document.html