From 80e6ec2e4a7f2f4e13e5be4b586604eaf92f099c Mon Sep 17 00:00:00 2001 From: Andreas Mueller <amueller@ais.uni-bonn.de> Date: Thu, 26 Apr 2012 13:43:25 +0200 Subject: [PATCH] MISC don't use private ``set_params`` method as that raises a warning. --- doc/tutorial/statistical_inference/supervised_learning.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/tutorial/statistical_inference/supervised_learning.rst b/doc/tutorial/statistical_inference/supervised_learning.rst index c20b4c0ccb..5eb2db6293 100644 --- a/doc/tutorial/statistical_inference/supervised_learning.rst +++ b/doc/tutorial/statistical_inference/supervised_learning.rst @@ -253,7 +253,7 @@ We can choose `alpha` to minimize left out error, this time using the diabetes dataset, rather than our synthetic data:: >>> alphas = np.logspace(-4, -1, 6) - >>> print [regr._set_params(alpha=alpha + >>> print [regr.set_params(alpha=alpha ... ).fit(diabetes_X_train, diabetes_y_train, ... ).score(diabetes_X_test, diabetes_y_test) for alpha in alphas] # doctest: +ELLIPSIS [0.5851110683883..., 0.5852073015444..., 0.5854677540698..., 0.5855512036503..., 0.5830717085554..., 0.57058999437...] @@ -319,7 +319,7 @@ application of Occam's razor: `prefer simpler models`. :: >>> regr = linear_model.Lasso(alpha=.1) - >>> print [regr._set_params(alpha=alpha + >>> print [regr.set_params(alpha=alpha ... ).fit(diabetes_X_train, diabetes_y_train ... ).score(diabetes_X_test, diabetes_y_test) ... for alpha in alphas] # doctest: +ELLIPSIS -- GitLab