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lasso_path — scikit-learn 1.7.2 documentation
precompute = 'auto' , Xy = None , copy_X = True , coef_init = None...y , * , eps = 0.001 , n_alphas = 100 , alphas = None , precompute...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lasso_path.html -
Logistic function — scikit-learn 1.7.2 document...
xmax = - 5 , 5 n_samples = 100 np . random . seed ( 0 ) X = np...X > 0 ] *= 4 X += 0.3 * np . random . normal ( size = n_samples...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic.html -
install.rst.txt
tions: ========== Installing scikit-learn ========== There are...Installing the latest release ========== .. raw:: html <style> /*...scikit-learn.org/stable/_sources/install.rst.txt -
Dimensionality Reduction with Neighborhood Comp...
n_neighbors = 3 random_state = 0 # Load Digits dataset X , y = datasets...stratify = y , random_state = random_state ) dim = len ( X [ 0 ])...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_dim_reduction.html -
Caching nearest neighbors — scikit-learn 1.7.2 ...
y = load_digits ( return_X_y = True ) n_neighbors_list = [ 1...graph_model = KNeighborsTransforme ( n_neighbors = max ( n_neighbors_list...scikit-learn.org/stable/auto_examples/neighbors/plot_caching_nearest_neighbors.html -
Early stopping in Gradient Boosting — scikit-le...
params = dict ( n_estimators = 1000 , max_depth = 5 , learning_rate...learning_rate = 0.1 , random_state = 42 ) gbm_full = GradientBoostingRegr...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_early_stopping.html -
LastaFluteで非同期処理 (Async) | LastaFlute
/= = = = = = = = = = = = = = = = = = = = = = = = = = = = =...outsideSql=0, procedure=0} = = = = = = = = = =/ [00m3s385ms] #2caaa834...dbflute.seasar.org/ja/lastaflute/howto/architecture/asynchronous.html -
cross_validate — scikit-learn 1.7.2 documentation
y = None , * , groups = None , scoring = None , cv = None...n_jobs = None , verbose = 0 , params = None , pre_dispatch = '2*n_jobs'...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_validate.html -
SplineTransformer — scikit-learn 1.7.2 document...
SplineTransformer ( n_knots = 5 , degree = 3 , * , knots = 'uniform' , extrapolation...extrapolation = 'constant' , include_bias = True , order = 'C' , sparse_output...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.html -
mean_poisson_deviance — scikit-learn 1.7.2 docu...
mean_poisson_deviance >>> y_true = [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 ,..., y_pred , * , sample_weight = None ) [source] # Mean Poisson...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html