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SVM with custom kernel — scikit-learn 1.5.2 doc...
cmap = plt . cm . Paired , ax = ax , response_method = "predict"...1 ], c = Y , cmap = plt . cm . Paired , edgecolors = "k" ) plt...scikit-learn.org/stable/auto_examples/svm/plot_custom_kernel.html -
TweedieRegressor — scikit-learn 1.5.2 documenta...
power = 0.0 , alpha = 1.0 , fit_intercept = True , link = 'auto'...'auto' , solver = 'lbfgs' , max_iter = 100 , tol = 0.0001 , warm_start...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TweedieRegressor.html -
grid_to_graph — scikit-learn 1.5.2 documentation
n_z=1 , * , mask=None , return_as=<class 'scipy.s...shape_img = ( 4 , 4 , 1 ) >>> mask = np . zeros ( shape = shape_img...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.grid_to_graph.html -
SQLログの取得 | DBFlute
executedSql = sqlLogInfo.getExecutedSql(); Object[] bindArgs = sqlL...bindArgs = sqlLogInfo.getBindArgTypes(); String displaySql = sqlL...dbflute.seasar.org/ja/manual/function/genbafit/runtimefit/sqlloghandler/index.html -
RBFSampler — scikit-learn 1.5.2 documentation
gamma = 1.0 , n_components = 100 , random_state = None ) [source]...rbf_feature = RBFSampler ( gamma = 1 , random_state = 1 ) >>> X_features...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.RBFSampler.html -
Lasso model selection via information criteria ...
y = load_diabetes ( return_X_y = True , as_frame = True )...aic_criterion , color = "tab:blue" , marker = "o" , label = "AIC criterion"...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_lars_ic.html -
Gaussian process classification (GPC) on iris d...
y = np . array ( iris . target , dtype = int ) h = 0.02 #...play with iris = datasets . load_iris () X = iris . data [:,...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_iris.html -
fetch_lfw_people — scikit-learn 1.5.2 documenta...
download_if_missing = True , return_X_y = False , n_retries = 3 , delay = 1.0..., data_home = None , funneled = True , resize = 0.5 , min_faces_per_person...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_lfw_people.html -
Reciprocal rank fusion | Elasticsearch Guide [8...
_id: 4 = 1.0/(1+1) = 0.5000 _id: 5 = 1.0/(1+4) = 0.2000 We rank...1.0/(1+5) = 0.5 _id: 3 = 1.0/(1+3) + 1.0/(1+3) = 0.5 _id: 4 = 1.0/(1+4)...www.elastic.co/guide/en/elasticsearch/reference/current/rrf.html -
HuberRegressor — scikit-learn 1.5.2 documentation
n_samples = 200 , n_features = 2 , noise = 4.0 , coef = True , random_state...( * , epsilon = 1.35 , max_iter = 100 , alpha = 0.0001 , warm_start...scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html