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 main():
parser = OptionParser(usage="usage: %prog [options] data")
parser.add_option("-c", "--config-file",
action="store",
dest="config",
default="gold.yml",
help="Configuration file for features",)
parser.add_option("-o", "--output",
action="store",
dest="output",
default="filtered.csv",
help="Output file of features",)
(options, args) = parser.parse_args()
if len(args) != 1:
parser.error("wrong number of arguments")
config = GyroConfig.load(options.config)
data = gyrodata.readMetadata(args[0])
features = [extractFeatures(entry, config) for entry in data]
gyrodata.writeCsvData(features, options.output)
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)