def main():
parser = OptionParser(usage="usage: %prog [options] feature_file output_file meta_file")
parser.add_option("-c", "--config-file",
action="store",
dest="config",
default="gold.yml",
help="Configuration file",)
(options, args) = parser.parse_args()
if len(args) != 3:
parser.error("wrong number of arguments")
config = GyroConfig.load(options.config)
features = gyrodata.readCsvData(args[0])
output = gyrodata.readCsvData(args[1])
# global variable for simplicity
global metadataPath
metadataPath = args[2]
model = getModel(config)
# normalize features/output (may be false assumption)
features = [[float(x) for x in l] for l in features]
print ""
accuracy = runData(config, features, output)
# Output accuracy correctly
if model.isDiscrete:
print "Accuracy: " + "%.2f" % (accuracy * 100) + "%"
else:
print "Average Absolute Error: " + "%.2f" % accuracy
def checkValidFile(path, numKeys, minRecords):
# check for valid values in acc file
data = gyrodata.readCsvData(path)
if len(data) < minRecords:
return False
# count all non-falsy keys
keys = [len([e for e in l if e]) for l in data]
return max(keys) == numKeys
def main():
parser = OptionParser(usage="usage: %prog [options] feature_file output_file meta_file")
parser.add_option("-c", "--config-file",
action="store",
dest="config",
default="gold.yml",
help="Configuration file",)
(options, args) = parser.parse_args()
if len(args) != 3:
parser.error("wrong number of arguments")
config = GyroConfig.load(options.config)
features = gyrodata.readCsvData(args[0])
output = gyrodata.readCsvData(args[1])
# normalize features/output (may be false assumption)
features = [[float(x) for x in l] for l in features]
print ""
runData(config, features, output)
def readNumericData(path):
data = gyrodata.readCsvData(path)
return [[float(x or 0) for x in l] for l in data]