From ed2d90fb220c571cb8ec6a82441e3016c1e343ed Mon Sep 17 00:00:00 2001 From: Neil Lawrence Date: Mon, 24 May 2021 08:45:29 +0100 Subject: [PATCH] Fix badly formatted comment region. : --- GPy/examples/non_gaussian.py | 43 ++++++++++++++++++++---------------- 1 file changed, 24 insertions(+), 19 deletions(-) diff --git a/GPy/examples/non_gaussian.py b/GPy/examples/non_gaussian.py index 1f030f2c..cb86c83c 100644 --- a/GPy/examples/non_gaussian.py +++ b/GPy/examples/non_gaussian.py @@ -310,22 +310,27 @@ def boston_example(optimize=True, plot=True): # def precipitation_example(): -# import sklearn -# from sklearn.cross_validation import KFold -# data = datasets.boston_housing() -# X = data['X'].copy() -# Y = data['Y'].copy() -# X = X-X.mean(axis=0) -# X = X/X.std(axis=0) -# Y = Y-Y.mean() -# Y = Y/Y.std() -# import ipdb; ipdb.set_trace() # XXX BREAKPOINT -# num_folds = 10 -# kf = KFold(len(Y), n_folds=num_folds, indices=True) -# score_folds = np.zeros((4, num_folds)) -# def rmse(Y, Ystar): -# return np.sqrt(np.mean((Y-Ystar)**2)) -##for train, test in kf: -# for n, (train, test) in enumerate(kf): -# X_train, X_test, Y_train, Y_test = X[train], X[test], Y[train], Y[test] -# print "Fold {}".format(n) +# import sklearn +# from sklearn.cross_validation import KFold + +# data = datasets.boston_housing() +# X = data["X"].copy() +# Y = data["Y"].copy() +# X = X - X.mean(axis=0) +# X = X / X.std(axis=0) +# Y = Y - Y.mean() +# Y = Y / Y.std() +# import ipdb + +# ipdb.set_trace() # XXX BREAKPOINT +# num_folds = 10 +# kf = KFold(len(Y), n_folds=num_folds, indices=True) +# score_folds = np.zeros((4, num_folds)) + +# def rmse(Y, Ystar): +# return np.sqrt(np.mean((Y - Ystar) ** 2)) + +# for train, test in kf: +# for n, (train, test) in enumerate(kf): +# X_train, X_test, Y_train, Y_test = X[train], X[test], Y[train], Y[test] +# print("Fold {}".format(n))