- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 761 - 770 of 2,897 for 1 (0.24 sec)
-
mean_gamma_deviance — scikit-learn 1.7.2 docume...
1 , 4 ] >>> y_pred = [ 0.5 , 0.5...mean_gamma_deviance ( y_true , y_pred ) 1.0568... On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_gamma_deviance.html -
Comparison of F-test and mutual information — s...
follows: y = x_1 + sin(6 * pi * x_2) + 0.1 * N(0, 1), that is the...features x_1, x_2, x_3 distributed uniformly over [0, 1], the target...scikit-learn.org/stable/auto_examples/feature_selection/plot_f_test_vs_mi.html -
Prediction Intervals for Gradient Boosting Regr...
common_params ) all_models [ "q %1.2f " % alpha ] = gbr . fit ( X_train...0.5 , 0.95 ]: metrics [ "pbl= %1.2f " % alpha ] = mean_pinball_loss...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_quantile.html -
Gradient Boosting Out-of-Bag estimates — scikit...
subsample < 1.0 ), the estimates are derived...y = random_state . binomial ( 1 , p , size = n_samples ) X = np...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html -
11. Common pitfalls and recommended practices —...
n_features = 1 , noise = 1 ) >>> X_train , X_test ,...applies to using None . 11.3.1.1. Estimators # Passing instances...scikit-learn.org/stable/common_pitfalls.html -
Curve Fitting with Bayesian Ridge Regression — ...
values (alpha_init = 1.90, lambda_init = 1.), the bias of the resulting...scale = 0.1 , size = size ) x_test = np . linspace ( 0.0 , 1.0 , 100...scikit-learn.org/stable/auto_examples/linear_model/plot_bayesian_ridge_curvefit.html -
dict_learning_online — scikit-learn 1.7.2 docum...
* || U || _1 , 1 ( U , V ) with || V_k || _2 = 1 for all 0 <=...the Frobenius norm and ||.||_1,1 stands for the entry-wise matrix...scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning_online.html -
Classification of text documents using sparse f...
the mean squared error on {-1, 1} encoded targets, one for each...n_features: { X_train . shape [ 1 ] } " ) print ( f "vectorize testing...scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html -
SGD: convex loss functions — scikit-learn 1.7.2...
z >= - 1 ] = ( 1 - z [ z >= - 1 ]) ** 2 loss [ z >= 1.0 ] = 0...([ xmin , 0 , 0 , xmax ], [ 1 , 1 , 0 , 0 ], color = "gold" ,...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_loss_functions.html -
Comparing different clustering algorithms on to...
"connectivity matrix is [0-9]{1,2}" " > 1. Completing it to avoid stopping...= n_samples , cluster_std = [ 1.0 , 2.5 , 0.5 ], random_state...scikit-learn.org/stable/auto_examples/cluster/plot_cluster_comparison.html