def setup(self):
filePtr = open('tests/icatestsignals.db', 'r')
signalDict = cPickle.load(filePtr)
filePtr.close()
# setup the test data
self.signals = np.vstack([signalDict[k] for k in signalDict])
# standardize signals
self.signals = standardize(self.signals, stdtype='row')
# mixing
self.A = np.random.randn(len(self.signals), len(self.signals))
self.X = np.dot(self.A, self.signals)
# ica options
icaOptions = dict()
icaOptions['nonlinearity'] = 'logcosh'
icaOptions['maxIterations'] = 500
icaOptions['tolerance'] = 1.0e-05
# this is just to get the setup to run; test_has_ica will fail if rpy2ica isn't there
# other tests may pass if you have pyica installed, however
try:
from rpy2ica import fastica
icaMethod = fastica
except:
icaMethod = None
# RAICAR object
self.K = 10
# data logger
self.logger = Logger('tests/runlog.txt')
# raicar object
self.mycar = RAICAR(projDirectory='tests/raicartest',
K=self.K,
nSignals=3,
icaOptions=icaOptions,
icaMethod=icaMethod)
def setup(self):
filePtr = open('tests/icatestsignals.db','r')
signalDict = cPickle.load(filePtr)
filePtr.close()
# setup the test data
self.signals = np.vstack([signalDict[k] for k in signalDict])
# standardize signals
self.signals = standardize(self.signals,stdtype='row')
# mixing
self.A = np.random.randn(len(self.signals),len(self.signals))
self.X = np.dot(self.A,self.signals)
# ica options
icaOptions = dict()
icaOptions['nonlinearity'] = 'logcosh'
icaOptions['maxIterations'] = 500
icaOptions['tolerance'] = 1.0e-05
# this is just to get the setup to run; test_has_ica will fail if rpy2ica isn't there
# other tests may pass if you have pyica installed, however
try:
from rpy2ica import fastica
icaMethod = fastica
except:
icaMethod = None
# RAICAR object
self.K = 10
# data logger
self.logger = Logger('tests/runlog.txt')
# raicar object
self.mycar = RAICAR(projDirectory='tests/raicartest',K=self.K,nSignals=3,icaOptions=icaOptions,icaMethod=icaMethod)