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Concatenating multiple feature extraction metho...
ents=1, features__univ_select__k=1, svm__C=0.1;, score=0.933...ents=1, features__univ_select__k=1, svm__C=0.1;, score=0.933...scikit-learn.org/stable/auto_examples/compose/plot_feature_union.html -
selectCursor(cb) (カーソル検索) | DBFlute
memberId = member.getMemberId(); String memberName = member.getMemberName();...memberId = entity.getMemberId(); String memberName = entity.getMemberName();...dbflute.seasar.org/ja/manual/function/ormapper/behavior/select/selectcursor.html -
1.6. Nearest Neighbors — scikit-learn 1.7.2 doc...
nbrs = NearestNeighbors ( n_neighbors = 2 , algorithm = 'ball_tree'...]]) >>> kdt = KDTree ( X , leaf_size = 30 , metric = 'euclidean'...scikit-learn.org/stable/modules/neighbors.html -
classification_report — scikit-learn 1.7.2 docu...
labels = None , target_names = None , sample_weight = None ,..., digits = 2 , output_dict = False , zero_division = 'warn' )...scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html -
Displaying estimators and complex pipelines — s...
lr = LogisticRegression ( penalty = "l1" ) print (...num_proc = make_pipeline ( SimpleImputer ( strategy = "median"...scikit-learn.org/stable/auto_examples/miscellaneous/plot_estimator_representation.html -
fetch_olivetti_faces — scikit-learn 1.7.2 docum...
download_if_missing = True , return_X_y = False , n_retries = 3 , delay = 1.0...data_home = None , shuffle = False , random_state = 0 , download_if_missing...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_olivetti_faces.html -
1.13. Feature selection — scikit-learn 1.7.2 do...
>>> lsvc = LinearSVC ( C = 0.01 , penalty = "l1" , dual = False...model = SelectFromModel ( lsvc , prefit = True ) >>> X_new = model...scikit-learn.org/stable/modules/feature_selection.html -
DBFlute : Migration : 0.8.9.13
outputPackageAdjustm = map:{ ; flatDirectoryPackage = Aaa.Bbb.DBFlute...Aaa.Bbb.DBFlute ; omitDirectoryPackage = Aaa } 但し、今まで通りの書き方でも動作します。新規で利用さ...dbflute.seasar.org/ja/oldmigration/migrate-08912to08913.html -
mean_tweedie_deviance — scikit-learn 1.7.2 docu...
sample_weight = None , power = 0 ) [source] # Mean Tweedie...(n_samples,), default=None Sample weights. power float, default=0 Tweedie...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html -
silhouette_score — scikit-learn 1.7.2 documenta...
metric = 'euclidean' , sample_size = None , random_state = None...X , y = make_blobs ( random_state = 42 ) >>> kmeans = KMeans...scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_score.html