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Fix badly formatted comment region.

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Neil Lawrence 2021-05-24 08:45:29 +01:00
parent 599f57cad5
commit ed2d90fb22
1 changed files with 24 additions and 19 deletions
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43
GPy/examples/non_gaussian.py
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@ -310,22 +310,27 @@ def boston_example(optimize=True, plot=True):
# def precipitation_example(): # def precipitation_example():
# import sklearn # import sklearn
# from sklearn.cross_validation import KFold # from sklearn.cross_validation import KFold
# data = datasets.boston_housing()
# X = data['X'].copy() # data = datasets.boston_housing()
# Y = data['Y'].copy() # X = data["X"].copy()
# X = X-X.mean(axis=0) # Y = data["Y"].copy()
# X = X/X.std(axis=0) # X = X - X.mean(axis=0)
# Y = Y-Y.mean() # X = X / X.std(axis=0)
# Y = Y/Y.std() # Y = Y - Y.mean()
# import ipdb; ipdb.set_trace() # XXX BREAKPOINT # Y = Y / Y.std()
# num_folds = 10 # import ipdb
# kf = KFold(len(Y), n_folds=num_folds, indices=True)
# score_folds = np.zeros((4, num_folds)) # ipdb.set_trace() # XXX BREAKPOINT
# def rmse(Y, Ystar): # num_folds = 10
# return np.sqrt(np.mean((Y-Ystar)**2)) # kf = KFold(len(Y), n_folds=num_folds, indices=True)
##for train, test in kf: # score_folds = np.zeros((4, num_folds))
# for n, (train, test) in enumerate(kf):
# X_train, X_test, Y_train, Y_test = X[train], X[test], Y[train], Y[test] # def rmse(Y, Ystar):
# print "Fold {}".format(n) # 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))