def parseLines(feats, group):
lines = []
collectedFeats = model.collectPerfFeats(feats)
# names = "group\t" + "\t".join(collectedFeats.keys())
# lines.append(names)
valueLines = zip(*collectedFeats.values()) # [(feat1, feat2), (feat1, feat2)]
for line in valueLines:
lineStr = map(str, list(line))
# lines.append('\t'.join(lineStr) + "\n")
lines.append(group + "\t" + "\t".join(lineStr))
return lines
def parseLines(feats, group):
lines = []
collectedFeats = model.collectPerfFeats(feats)
#names = "group\t" + "\t".join(collectedFeats.keys())
#lines.append(names)
valueLines = zip(
*collectedFeats.values()) #[(feat1, feat2), (feat1, feat2)]
for line in valueLines:
lineStr = map(str, list(line))
#lines.append('\t'.join(lineStr) + "\n")
lines.append(group + '\t' + '\t'.join(lineStr))
return lines
def parseColNames(feats):
collectedFeats = model.collectPerfFeats(feats)
return ["group\t" + "\t".join(collectedFeats.keys())
] # each line is a vector
import model
import config
import featureManager
trainFeats = featureManager.loadJson(config.defaultTrainFeatsFilename)
print(model.collectScoreFeats(trainFeats))
print(model.collectPerfFeats(trainFeats))
model = model.trainMultiLinearRegress(trainFeats, config.defaultModelFilename)
print(model)
def dummyFunc():
print("this is a function for type(dummyFunc) comparison")
#for mode in ['train', 'gen']:
# print(model.getModelFunc(mode))
# assert type(model.getModelFunc(mode)) == type(dummyFunc), 'getModelFunc() returned a non-function object'
#
import model
import config
import featureManager
trainFeats = featureManager.loadJson(config.defaultTrainFeatsFilename)
print(model.collectScoreFeats(trainFeats))
print(model.collectPerfFeats(trainFeats))
model = model.trainMultiLinearRegress(trainFeats, config.defaultModelFilename)
print(model)
def dummyFunc():
print("this is a function for type(dummyFunc) comparison")
#for mode in ['train', 'gen']:
# print(model.getModelFunc(mode))
# assert type(model.getModelFunc(mode)) == type(dummyFunc), 'getModelFunc() returned a non-function object'
#
def parseColNames(feats):
collectedFeats = model.collectPerfFeats(feats)
return ["group\t" + "\t".join(collectedFeats.keys())] # each line is a vector