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MNIST classification using multinomial logistic...
sparsity = np . mean ( clf . coef_ == 0 ) * 100 score = clf . score...return_X_y = True , as_frame = False ) random_state = check_random_state...scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html -
BaseEstimator — scikit-learn 1.6.1 documentation
param = 1 ): ... self . param = param ... def fit...self , X , y = None ): ... self . is_fitted_ = True ... return...scikit-learn.org/stable/modules/generated/sklearn.base.BaseEstimator.html -
kmeans_plusplus — scikit-learn 1.6.1 documentation
sample_weight = None , x_squared_norms = None , random_state = None ,...centers , indices = kmeans_plusplus ( X , n_clusters = 2 , random_state...scikit-learn.org/stable/modules/generated/sklearn.cluster.kmeans_plusplus.html -
Demonstration of multi-metric evaluation on cro...
alpha = 0.1 if sample == "test" else 0 , color = color , )...style , color = color , alpha = 1 if sample == "test" else 0.7...scikit-learn.org/stable/auto_examples/model_selection/plot_multi_metric_evaluation.html -
Lagged features for time series forecasting — s...
cv = ts_cv , scoring = scoring , n_jobs = 2 , ) time = cv_results...https://openml.org/search?type=data&status=active&id=44063 ). The sha256...scikit-learn.org/stable/auto_examples/applications/plot_time_series_lagged_features.html -
spectral_embedding — scikit-learn 1.6.1 documen...
n_components = 8 , eigen_solver = None , random_state = None , eigen_tol...eigen_tol = 'auto' , norm_laplacian = True , drop_first = True )...scikit-learn.org/stable/modules/generated/sklearn.manifold.spectral_embedding.html -
Clustering text documents using k-means — sciki...
subset = "all" , categories = categories , shuffle = True , random_state...( km , X , name = None , n_runs = 5 ): name = km . __class__ ....scikit-learn.org/stable/auto_examples/text/plot_document_clustering.html -
Normalizer — scikit-learn 1.6.1 documentation
Normalizer ( norm = 'l2' , * , copy = True ) [source] # Normalize...norm {‘l1’, ‘l2’, ‘max’}, default=’l2’ The norm to use to normalize...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Normalizer.html -
make_moons — scikit-learn 1.6.1 documentation
( n_samples = 100 , * , shuffle = True , noise = None , random_state...>>> X , y = make_moons ( n_samples = 200 , noise = 0.2 , random_state...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html -
DBFluteのEclipseコード補完 | LastaFlute
↓↓↓ // ========== // Accessor // ======== タグコメントがよくわから...showMystic(String hangar) { if (hangar == null ) { _tharg ... // control+space,...dbflute.seasar.org/ja/tutorial/eclipse/dfclipsecomp.html