import sys
import numpy as np
from data import Data
from perceptron import preprocess, primal, dual
from nn import linear_distance, gaussian_distance
if __name__=="__main__":
data_file = "../data/perceptron/perceptronData.txt"
data = Data(data_file)
if sys.argv[1] == 'p':
data = preprocess(data)
X,Y = data.data(), data.labels()
primal(X, Y, r=0.001)
elif sys.argv[1] == 'd':
X,Y = data.data(), data.labels()
dual(X, Y, K=linear_distance)
else:
print "Invalid input argument."
import sys
import numpy as np
from perceptron import preprocess, primal, dual
from nn import linear_distance, gaussian_distance
X, Y = [], []
fname = "../data/spiral/twoSpirals.txt"
f = open(fname, "r")
for line in f:
sline = line.split()
fline = [float(e) for e in sline]
X.append(fline[:-1])
Y.append(fline[-1:])
X, Y = np.array(X), np.array(Y)
print X.shape, Y.shape
if sys.argv[1] == 'p':
primal(X, Y, r=0.001)
elif sys.argv[1] == 'l':
dual(X, Y, K=linear_distance)
elif sys.argv[1] == 'g':
dual(X, Y, K=gaussian_distance)
else:
print "Invalid kernel."
