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Making sure GPy imports.

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This commit is contained in:
Neil Lawrence 2013-06-06 09:15:42 +01:00
parent 45a2c2b3a6
commit 5b5224dae3
1 changed files with 28 additions and 21 deletions
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49
GPy/util/datasets.py
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@ -35,32 +35,32 @@ def download_data(dataset_name=None):
'details' : """The three phase oil data used initially for demonstrating the Generative Topographic mapping.""",
'agreement' : None},
'brendan_faces' : {'url' : ['http://www.cs.nyu.edu/~roweis/data/'],
'files' [['frey_rawface.mat']],
'files': [['frey_rawface.mat']],
'citation' : 'Frey, B. J., Colmenarez, A and Huang, T. S. Mixtures of Local Linear Subspaces for Face Recognition. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 1998, 32-37, June 1998. Computer Society Press, Los Alamitos, CA.',
'details' : """A video of Brendan Frey's face popularized as a benchmark for visualization by the Locally Linear Embedding.""",
'agreement': None}
}
print('Acquiring resource: ' + dataset_name)
# TODO, check resource is in dictionary!
dr = data_resources[dataset_name]
print('Details of data: ')
print(dr['details'])
if dr['citation']:
print('Please cite:')
print(dr['citation'])
if dr['agreement']:
print('You must also agree to the following:')
print(dr['agreement'])
print('Do you wish to proceed with the download? [yes/no]')
if prompt_user()==False:
return False
print('Acquiring resource: ' + dataset_name)
# TODO, check resource is in dictionary!
dr = data_resources[dataset_name]
print('Details of data: ')
print(dr['details'])
if dr['citation']:
print('Please cite:')
print(dr['citation'])
if dr['agreement']:
print('You must also agree to the following:')
print(dr['agreement'])
print('Do you wish to proceed with the download? [yes/no]')
if prompt_user()==False:
return False
for url, files in zip(dr['urls'], dr['files']):
for file in files:
download_resource(url + file)
return True
for url, files in zip(dr['urls'], dr['files']):
for file in files:
download_resource(url + file)
return True
@ -112,7 +112,9 @@ def simulation_BGPLVM():
# The data sets
def oil():
download_data('oil')
#if download_data('oil'):
oil_train_file = os.path.join(data_path, 'oil', 'DataTrn.txt')
oil_trainlbls_file = os.path.join(data_path, 'oil', 'DataTrnLbls.txt')
fid = open(oil_train_file)
X = np.fromfile(fid, sep='\t').reshape((-1, 12))
fid.close()
@ -120,7 +122,9 @@ def oil():
Y = np.fromfile(fid, sep='\t').reshape((-1, 3)) * 2. - 1.
fid.close()
return {'X': X, 'Y': Y, 'info': "The oil data from Bishop and James (1993)."}
#else:
# throw an error
def oil_100(seed=default_seed):
np.random.seed(seed=seed)
data = oil()
@ -167,10 +171,13 @@ def silhouette():
return {'X': X, 'Y': Y, 'Xtest': Xtest, 'Ytest': Ytest, 'info': "Artificial silhouette simulation data developed from Agarwal and Triggs (2004)."}
def stick():
#if download_data('stick'):
Y, connect = GPy.util.mocap.load_text_data('run1', data_path)
Y = Y[0:-1:4, :]
lbls = 'connect'
return {'Y': Y, 'connect' : connect, 'info': "Stick man data from Ohio."}
# else:
# throw an error.
def swiss_roll_generated(N=1000, sigma=0.0):
with open(os.path.join(data_path, 'swiss_roll.pickle')) as f: