- Sort Score
- Num 10 results
- Language All
- Labels All
Results 1 - 10 of 25 for 10 (0.06 seconds)
Filter
- File Type
- Text 25
-
test.log
scheduled crawl job 2024-11-13 10:00:10 DEBUG [crawler] Crawling URL:...2024-11-13 10:00:00 INFO [main] Application started - Lorem ipsum...raw.githubusercontent.com/codelibs/fess-testdata/master/files/logs/test.log -
grid_search.rst.txt
10, 100, 1000], 'kernel': ['linear']}, {'C': [1, 10, 100,...{'max_depth': [3, 5, 10], ... 'min_samples_split': [2, 5, 10]} >>> base_estimator...scikit-learn.org/stable/_sources/modules/grid_search.rst.txt -
plot_discretization_strategies.rst.txt
n_samples // 10, n_samples * 4 // 10, n_samples // 10, n_samples...n_samples * 4 // 10, ], cluster_std=0.5, centers=centers_0, random_state=random_state,...scikit-learn.org/stable/_sources/auto_examples/preprocessing/plot_discretization_strategies.rst.txt -
cross_validation.rst.txt
12 13 14] [ 2 3 10 15 16 17] [ 1 2 3 8 9 10 12 13 14 15 16 17]...training size in question, then 5 or 10-fold cross validation can overestimate...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
test.json
"pool_size": 10 }, "search": { "_comment": "Search...raw.githubusercontent.com/codelibs/fess-testdata/master/files/config/test.json -
test.yaml
testpass charset: utf8mb4 pool_size: 10 options: - reconnect: true -...raw.githubusercontent.com/codelibs/fess-testdata/master/files/config/test.yaml -
test.toml
charset = "utf8mb4" pool_size = 10 [database.options] reconnect...raw.githubusercontent.com/codelibs/fess-testdata/master/files/config/test.toml -
ensemble.rst.txt
timators=10) >>> clf = clf.fit(X, y) # fit with 10 trees >>>...) # set `n_estimators` to 10 + 10 >>> _ = clf.fit(X, y) # fit...scikit-learn.org/stable/_sources/modules/ensemble.rst.txt -
plot_kmeans_digits.rst.txt
code-block:: none # digits: 10; # samples: 1797; # features...linewidths=3, color="w", zorder=10, ) plt.title( "K-means clustering...scikit-learn.org/stable/_sources/auto_examples/cluster/plot_kmeans_digits.rst.txt -
getting_started.rst.txt
-10]] >>> # scale data according...5), ... 'max_depth': randint(5, 10)} ... >>> # now create a searchCV...scikit-learn.org/stable/_sources/getting_started.rst.txt