def load_data(self):
from GPy.util.datasets import download_url, data_path
if not os.path.exists(os.path.join(data_path,self.datapath, self.filename)):
download_url(self.url, self.datapath, messages=True)
if not os.path.exists(os.path.join(data_path, self.datapath, self.filename)):
return False
data = np.loadtxt(os.path.join(data_path, self.datapath, self.filename),skiprows=1,delimiter=';')
self.data = data
data_train = data[:1000,:-1]
label_train = data[:1000, -1:]
self.train = (data_train, label_train)
data_test = data[1000:,:-1]
label_test = data[1000:,-1:]
self.test = (data_test, label_test)
return True
def load_data(self):
from GPy.util.datasets import download_url, data_path
if not os.path.exists(os.path.join(data_path,self.datapath, self.filename)):
download_url(Housing.url, self.datapath, messages=True)
if not os.path.exists(os.path.join(data_path, self.datapath, self.filename)):
return False
data = np.loadtxt(os.path.join(data_path, self.datapath, self.filename))
self.data = data
data_train = data[:250,:-1]
label_train = data[:250, -1:]
self.train = (data_train, label_train)
data_test = data[250:,:-1]
label_test = data[250:,-1:]
self.test = (data_test, label_test)
return True
def load_data(self):
from GPy.util.datasets import download_url, data_path
if not os.path.exists(
os.path.join(data_path, self.datapath, self.filename)):
download_url(Housing.url, self.datapath, messages=True)
if not os.path.exists(
os.path.join(data_path, self.datapath, self.filename)):
return False
data = np.loadtxt(os.path.join(data_path, self.datapath,
self.filename))
self.data = data
data_train = data[:250, :-1]
label_train = data[:250, -1:]
self.train = (data_train, label_train)
data_test = data[250:, :-1]
label_test = data[250:, -1:]
self.test = (data_test, label_test)
return True
def load_data(self):
from GPy.util.datasets import download_url, data_path
if not os.path.exists(
os.path.join(data_path, self.datapath, self.filename)):
download_url(self.url, self.datapath, messages=True)
if not os.path.exists(
os.path.join(data_path, self.datapath, self.filename)):
return False
data = np.loadtxt(os.path.join(data_path, self.datapath,
self.filename),
skiprows=1,
delimiter=';')
self.data = data
data_train = data[:1000, :-1]
label_train = data[:1000, -1:]
self.train = (data_train, label_train)
data_test = data[1000:, :-1]
label_test = data[1000:, -1:]
self.test = (data_test, label_test)
return True
