def plotErrorResSize():
matplotlib.rcParams.update({'font.size': 25})
npzFile = '2016-04-28-09-57_bigRunOnlySnap.npz'
npz2 = '2016-04-28-15-18_bigRunOnlySnap.npz'
projectPath = 'C:\Users\Steve\Documents\Uni\BAThesis\\src\\errorResSize.pdf'
pp = PdfPages(projectPath)
a = np.load(getProjectPath()+npzFile)
errors = a['errors']
errors = np.mean(errors,2).squeeze()
b = np.load(getProjectPath()+npz2)
errors2 = b['errors']
errors2 = np.mean(errors2,2).squeeze()
plt.figure(figsize=(10,7.5))
plt.plot(errors, 'o', linestyle='-', linewidth=3, label='ridge para = 0.01')
#plt.plot(errors2, 'o', linestyle='-', linewidth=3, label='ridge para = 0.1')
plt.grid()
plt.minorticks_on()
plt.grid(which='minor', axis='y')
plt.xlabel('Reservoir size')
ticks = np.arange(0, 8)
labels = [25,50,100,200,400,800,1600,3200]
plt.xticks(ticks, labels)
plt.ylabel('Validation error')
plt.ylim(0,1)
plt.tight_layout()
pp.savefig()
pp.close()
def writeToReportFile(text):
print getProjectPath() + 'results/report.csv'
with open(getProjectPath() + 'results/report.csv', 'ab') as csvfile:
spamwriter = csv.writer(csvfile,
delimiter=';',
quotechar='|',
quoting=csv.QUOTE_MINIMAL)
spamwriter.writerow(text)
def createDataSetFromFile(fileName):
data = np.load(getProjectPath()+'dataSets/'+fileName)
fused = data['fused']
gyro = data['gyro']
acc = data['acc']
targets = data['targets']
means = data['means']
stds = data['stds']
gestures = data['gestures']
return DataSet(fused, gyro, acc, targets,means, stds, gestures)
def createDataSetFromFile(fileName):
data = np.load(getProjectPath() + 'dataSets/' + fileName)
fused = data['fused']
gyro = data['gyro']
acc = data['acc']
targets = data['targets']
means = data['means']
stds = data['stds']
gestures = data['gestures']
return DataSet(fused, gyro, acc, targets, means, stds, gestures)
def evaluateNPZ(npzFile):
pp = PdfPages(getProjectPath()+"error_space_"+npzFile+".pdf")
a = np.load(getProjectPath()+npzFile)
plotMinErrors(a['errors'], a['params'], a['paraRanges'], pp, getSpecificColorMap())
i = 0
inputSignalAxis = -1
inputScalingAxis = -1
normAxis = -1
for node, param in a['params']:
if param == 'spectral_radius':
inputSignalAxis = i
elif param == 'output_dim':
inputScalingAxis = i
elif param == 'ridge_param':
normAxis = i
i =i+1
plotAlongAxisErrors(a['errors'], a['params'], a['paraRanges'], normAxis, inputSignalAxis, inputScalingAxis, pp, getSpecificColorMap())
pp.close()
optDict = 'bestParas'
#===========================================================================
# Pick datasets to train on, and datasets to test on
#===========================================================================
inputFiles = ['nike', 'julian', 'nadja', 'line']
testFiles = ['stephan']
# If desired add a specific file to test on, e.g. randTestFiles = ['lana_0_0.npz']
randTestFiles = []
#===========================================================================
# Setup project directory
#===========================================================================
now = datetime.datetime.now()
resultsPath = getProjectPath() + 'results/'
pdfFileName = now.strftime("%Y-%m-%d-%H-%M") + '_' + name + '.pdf'
pdfFilePath = resultsPath + 'pdf/' + pdfFileName
npzFileName = now.strftime("%Y-%m-%d-%H-%M") + '_' + name + '.npz'
npzFilePath = resultsPath + 'npz/' + npzFileName
bestFlowPath = resultsPath + 'nodes/' + now.strftime(
"%Y-%m-%d-%H-%M") + '_' + name + '.p'
pp = PdfPages(pdfFilePath)
#===========================================================================
# Add labels for gestures
#===========================================================================
totalGestureNames = ['left','right','forward','backward','bounce up','bounce down','turn left','turn right','shake lr','shake ud', \
'tap 1','tap 2','tap 3','tap 4','tap 5','tap 6','no gesture']
gestureNames = []
for i in usedGestures:
def writeToFile(self, fileName):
np.savez(getProjectPath()+'dataSets/'+fileName, \
fused=self.fused,gyro=self.gyro,acc=self.acc,targets=self.targets,means=self.means,stds=self.stds,gestures=self.gestures)
def writeToFile(self, fileName):
np.savez(getProjectPath()+'dataSets/'+fileName, \
fused=self.fused,gyro=self.gyro,acc=self.acc,targets=self.targets,means=self.means,stds=self.stds,gestures=self.gestures)
def writeToReportFile(text):
print getProjectPath()+'results/report.csv'
with open(getProjectPath()+'results/report.csv', 'ab') as csvfile:
spamwriter = csv.writer(csvfile, delimiter=';',
quotechar='|', quoting=csv.QUOTE_MINIMAL)
spamwriter.writerow(text)
#===========================================================================
# Pick datasets to train on, and datasets to test on
#===========================================================================
inputFiles = ['nike','julian','nadja','line']
testFiles = ['stephan']
# If desired add a specific file to test on, e.g. randTestFiles = ['lana_0_0.npz']
randTestFiles = []
#===========================================================================
# Setup project directory
#===========================================================================
now = datetime.datetime.now()
resultsPath = getProjectPath()+'results/'
pdfFileName = now.strftime("%Y-%m-%d-%H-%M")+'_'+name+'.pdf'
pdfFilePath = resultsPath+'pdf/'+pdfFileName
npzFileName = now.strftime("%Y-%m-%d-%H-%M")+'_'+name+'.npz'
npzFilePath = resultsPath+'npz/'+npzFileName
bestFlowPath = resultsPath+'nodes/'+now.strftime("%Y-%m-%d-%H-%M")+'_'+name+'.p'
pp = PdfPages(pdfFilePath)
#===========================================================================
# Add labels for gestures
#===========================================================================
totalGestureNames = ['left','right','forward','backward','bounce up','bounce down','turn left','turn right','shake lr','shake ud', \
'tap 1','tap 2','tap 3','tap 4','tap 5','tap 6','no gesture']
gestureNames = []
for i in usedGestures: