if __name__ == "__main__":
import sys
if len(sys.argv) < 3:
print "specify file with objects to evaluate and k for k-fold"
k = int(sys.argv[2])
#print "w:", w, "bias:", bias
print "reading input file..."
X, y = read_input_file_shuffling(sys.argv[1])
print "read input file."
#print X, y
#input_shuffle = range(len(X))
#random.shuffle(input_shuffle)
kf = cross_val.KFold(len(X), k)
for train_index, test_index in kf:
#print "TRAIN:", train_index, "TEST:", test_index
#print "sum(train_index), sum(test_index):", sum(map(train_index)), sum(test_index)
X_small_tr = X[train_index]
y_small_tr = y[train_index]
X_small_tst = X[test_index]
y_small_tst = y[test_index]
w, bias, _ = get_hyperplane(X_small_tr, y_small_tr)
print "w:", w
print "bias:", bias
print "Blad", get_error(w, bias, X_small_tst, y_small_tst)
#X_train, X_test = X[train_index], X[test_index]
#y_train, y_test = y[train_index], y[test_index]
import sys if len(sys.argv)<3: print "specify file with objects to evaluate and k for k-fold" k = int(sys.argv[2]) #print "w:", w, "bias:", bias print "reading input file..." X, y = read_input_file_shuffling(sys.argv[1]) print "read input file." #print X, y #input_shuffle = range(len(X)) #random.shuffle(input_shuffle) kf = cross_val.KFold(len(X), k) for train_index, test_index in kf: #print "TRAIN:", train_index, "TEST:", test_index #print "sum(train_index), sum(test_index):", sum(map(train_index)), sum(test_index) X_small_tr = X[train_index] y_small_tr = y[train_index] X_small_tst = X[test_index] y_small_tst = y[test_index] w, bias, _ = get_hyperplane(X_small_tr, y_small_tr) print "w:", w print "bias:", bias print "Blad", get_error(w, bias, X_small_tst, y_small_tst) #X_train, X_test = X[train_index], X[test_index] #y_train, y_test = y[train_index], y[test_index]
#!/usr/bin/env python
import numpy as np
import pylab as pl
from itertools import izip
from calc_weights import read_input_file, get_hyper_classif, get_error
def read_hyperplane(fname):
with open(fname) as f:
wbiasl = (f.readlines()[-1]).split("bias:")
bias = float(wbiasl[1])
w = map(lambda x: float(x), wbiasl[0].replace("w:", "").replace("[", "").replace("]", "").split(","))
return w, bias
if __name__ == "__main__":
import sys
if len(sys.argv)<3:
print "specify output file from calc-weights and file with objects to evaluate"
w, bias = read_hyperplane(sys.argv[1])
print "w:", w, "bias:", bias
X, y = read_input_file(sys.argv[2])
print get_error(w, bias, X, y)
#!/usr/bin/env python
import numpy as np
import pylab as pl
from itertools import izip
from calc_weights import read_input_file, get_hyper_classif, get_error
def read_hyperplane(fname):
with open(fname) as f:
wbiasl = (f.readlines()[-1]).split("bias:")
bias = float(wbiasl[1])
w = map(
lambda x: float(x),
wbiasl[0].replace("w:",
"").replace("[", "").replace("]", "").split(","))
return w, bias
if __name__ == "__main__":
import sys
if len(sys.argv) < 3:
print "specify output file from calc-weights and file with objects to evaluate"
w, bias = read_hyperplane(sys.argv[1])
print "w:", w, "bias:", bias
X, y = read_input_file(sys.argv[2])
print get_error(w, bias, X, y)