Python set_features示例

示例#1

def test (indata):
	prefix='distance_'
	try:
		util.set_features(indata, prefix)
	except NotImplementedError, e:
		print e
		return True

示例#2

文件： distribution.py 项目： 42MachineLearning/shogun

def test (indata):
	try:
		util.set_features(indata, 'distribution_')
		_set_distribution(indata)
	except NotImplementedError, e:
		print e
		return True

示例#3

文件： distribution.py 项目： vinodrajendran001/ASP

def test(indata):
    try:
        util.set_features(indata, 'distribution_')
        _set_distribution(indata)
    except NotImplementedError, e:
        print e
        return True

示例#4

def test (indata):
	prefix='topfk_'
	if indata.has_key(prefix+'name'):
		try:
			util.set_features(indata, prefix)
			return _evaluate_top_fisher(indata, prefix)
		except NotImplementedError, e:
			print e
			return True

示例#5

文件： classifier.py 项目： vinodrajendran001/ASP

def test (indata):
	prefix='classifier_'

	if indata[prefix+'type']=='kernel':
		feature_prefix='kernel_'
	elif indata[prefix+'type']=='knn':
		feature_prefix='distance_'
	else:
		feature_prefix='classifier_'

	try:
		util.set_features(indata, feature_prefix)
	except NotImplementedError, e:
		print e
		return True

示例#6

文件： regression.py 项目： vinodrajendran001/ASP

def test(indata):
    try:
        util.set_features(indata, 'kernel_')
    except NotImplementedError, e:
        print e
        return True

示例#7

文件： regression.py 项目： 42MachineLearning/shogun

def test (indata):
	try:
		util.set_features(indata, 'kernel_')
	except NotImplementedError, e:
		print e
		return True

示例#8

# public
########################################################################

def test (indata):
	prefix='topfk_'
	if indata.has_key(prefix+'name'):
		try:
			util.set_features(indata, prefix)
			return _evaluate_top_fisher(indata, prefix)
		except NotImplementedError, e:
			print e
			return True

	prefix='kernel_'
	try:
		util.set_features(indata, prefix)
		names=['Combined', 'AUC', 'Custom']
		for name in names:
			if indata[prefix+'name']==name:
				return eval('_evaluate_'+name.lower()+'(indata, prefix)')

		names=['HistogramWordString', 'SalzbergWordString']
		for name in names:
			if indata[prefix+'name']==name:
				return _evaluate_pie(indata, prefix)

		# pretty normal kernel
		return _evaluate_kernel(indata, prefix)
	except NotImplementedError, e:
		print e
		return True