apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-24 14:15:14 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

Fix badly formatted comment region.

Browse source 
:
This commit is contained in:
Neil Lawrence 2021-05-24 08:45:29 +01:00
parent 599f57cad5
commit ed2d90fb22
1 changed files with 24 additions and 19 deletions
Download patch file Download diff file Expand all files Collapse all files

25
GPy/examples/non_gaussian.py
View file

@ -312,20 +312,25 @@ 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
# 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:
# 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)
# print("Fold {}".format(n))