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Cross-validation on diabetes Dataset Exercise —...
y = datasets . load_diabetes ( return_X_y = True ) X = X [:...150 ] y = y [: 150 ] lasso = Lasso ( random_state = 0 , max_iter...scikit-learn.org/stable/auto_examples/exercises/plot_cv_diabetes.html -
Ordinary Least Squares and Ridge Regression Var...
s = 30 , c = "red" , marker = "+" , zorder = 10 ) ax ....c = "gray" , marker = "o" , zorder = 10 ) clf . fit ( X_train...scikit-learn.org/stable/auto_examples/linear_model/plot_ols_ridge_variance.html -
dbflute-eclipse-editor-templates.zip
// ========== // ========== // Hook // ====== // ========== //...Logic // ========== // ========== // Attribute // ========= // ==========...dbflute.seasar.org/download/misc/settings/dbflute-eclipse-editor-templates.zip -
LassoLarsIC — scikit-learn 1.5.2 documentation
criterion = 'aic' , * , fit_intercept = True , verbose = False ,..., precompute = 'auto' , max_iter = 500 , eps = np.float64(2....scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsIC.html -
Lars — scikit-learn 1.5.2 documentation
fit_intercept = True , verbose = False , precompute = 'auto' , n_nonzero_coefs...6) , copy_X = True , fit_path = True , jitter = None , random_state...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lars.html -
silhouette_samples — scikit-learn 1.5.2 documen...
y = make_blobs ( n_samples = 50 , random_state = 42 ) >>>...>>> kmeans = KMeans ( n_clusters = 3 , random_state = 42 ) >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_samples.html -
The Eight Best Westerns You Haven't Seen, But S...
fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor">...digg.com/movies-and-tv/link/underrated-underseen-westerns-films -
Probabilistic predictions with Gaussian process...
train_size = 50 rng = np . random . RandomState ( 0 ) X = rng . uniform...train_size ], c = "k" , label = "Train data" , edgecolors = ( 0 , 0 ,...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc.html -
Aggregations | Elasticsearch Guide [8.16] | Ela...
: resp = client.search( index="my-index-000001", aggs={ "my-agg-name":...runs: resp = client.search( index="my-index-000001", query={ "range":...www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations.html -
dump_svmlight_file — scikit-learn 1.5.2 documen...
zero_based = True , comment = None , query_id = None , multilabel...make_classification >>> X , y = make_classification ( random_state = 0 ) >>> output_file...scikit-learn.org/stable/modules/generated/sklearn.datasets.dump_svmlight_file.html