Python getTrialList Exemples

Exemple #1

def setupClassifier(path):
	l = p.getTrialList(path)
	for x in l:
		features = f.Features(x)
		data.append(features.feature)
		if x.head.target == 'good':
			label.append(1)
		else:
			label.append(0)

Exemple #2

Fichier : 2.py Projet : hibazinga/KinectErgonomics

def getTrainingData(path):
	l = p.getTrialList(path)
	for x in l:
		features = f.Features(x)
		data.append(features.feature)
		if x.head.target == 'good' or path[-2] != 'k':
			label.append(1)
		else:
			label.append(0)
	 	print data[-1], label[-1]

Exemple #3

def getTestingData(path):
	l = p.getTrialList(path)
	for x in l:
		features = f.Features(x, path[-2])
		data_test.append(features.feature)
		if x.head.target == 'good':
			label_test.append(1)
		else:
			label_test.append(0)
	 	print data_test[-1], label_test[-1]

Exemple #4

Fichier : 2.py Projet : yanbinren/KinectErgonomics

def getTrainingData(path):
    l = p.getTrialList(path)
    for x in l:
        features = f.Features(x)
        data.append(features.feature)
        if x.head.target == 'good' or path[-2] != 'k':
            label.append(1)
        else:
            label.append(0)
        print data[-1], label[-1]

Exemple #5

def setupClassifier(path):
    data = []
    label = []
    l = p.getTrialList(path)
    for x in l:
        features = f.Features(x, path[-2])
        data.append(features.feature)
        if x.head.target == 'good':
            label.append(1)
        else:
            label.append(0)
    return knn.knn(data, label)

Exemple #6

Fichier : classify.py Projet : hibazinga/KinectErgonomics

def setupClassifier(path):
	data  = []
	label = []
	l = p.getTrialList(path)
	for x in l:
		features = f.Features(x,path[-2])
		data.append(features.feature)
		if x.head.target == 'good':
			label.append(1)
		else:
			label.append(0)
	return knn.knn(data, label)