- Sort Score
- Num 10 results
- Language All
- Labels All
Results 1201 - 1210 of 6,500 for 2 (0.14 seconds)
Filter
-
cross_val_score — scikit-learn 1.8.0 documentation
pre_dispatch = '2*n_jobs' , error_score = nan )...pre_dispatch int or str, default=’2*n_jobs’ Controls the number of...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html -
Nearest Centroid Classification — scikit-learn ...
2 0.82 # Authors: The scikit-learn...dataset X = iris . data [:, : 2 ] y = iris . target # Create color...scikit-learn.org/stable/auto_examples/neighbors/plot_nearest_centroid.html -
custom.css
- var(--tab-caption-width)) / 2 - 6px) !important; } .sd-tab-set...background-color: var(--sk-cyan-shades-2); color: white !important; } ...scikit-learn.org/stable/_static/styles/custom.css -
JSON 커넥터
/usr/share/fess/app/WEB-INF/lib/ 방법 2: 관리 화면에서 설치 “시스템” → “플러그인” 열기...fess.codelibs.org/ko/15.5/config/datastore/ds-json.html -
RandomTreesEmbedding — scikit-learn 1.8.0 docum...
min_samples_split = 2 , min_samples_leaf = 1 , min_...nodes is at most n_estimators * 2 ** max_depth . For an example...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomTreesEmbedding.html -
Release Highlights for scikit-learn 1.1 — sciki...
X_reconstructed ) ** 2 ) / np . sum ( X ** 2 ) : .5f } " , ) relative...scikit-learn 1.2 Release Highlights for scikit-learn 1.2 Gallery generated...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_1_0.html -
plot_kmeans_digits.py
PCA` to project into a # 2-dimensional space and plot the...reduced_data = PCA(n_components=2).fit_transform(data) kmeans =...scikit-learn.org/stable/_downloads/5a87b25ba023ee709595b8d02049f021/plot_kmeans_digits.py -
Configuration du mode de recherche IA
[ 2 ], etc . Exemple de personnalisation...sources en utilisant [ 1 ], [ 2 ], etc . Personnalisation pour...fess.codelibs.org/fr/15.5/config/rag-chat.html -
plot_kmeans_digits.rst.txt
PCA` to project into a 2-dimensional space and plot the...reduced_data = PCA(n_components=2).fit_transform(data) kmeans =...scikit-learn.org/stable/_sources/auto_examples/cluster/plot_kmeans_digits.rst.txt -
Regularization path of L1- Logistic Regression ...
= 2 ] y = y [ y != 2 ] Compute regularization...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_path.html