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cg/common/lr/nb/regression: rewrite Python 2 print statements and except/raise syntax #3

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ccf9511
common: make trace() a Python 3 print statement and narrow its except
Jun 21, 2026
1983ae1
cg/common/lr/nb/regression: rewrite Python 2 print statements and exc…
Jun 22, 2026
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26 changes: 13 additions & 13 deletions cg.py
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Original file line number Diff line number Diff line change
Expand Up @@ -31,7 +31,7 @@ def CG(f, w, max_fc, **argc):
LS_failed = False
f0, df0 = f(w, **argc)
fval = [f0]
print >> sys.stderr, 'Iter = %4.4i Cost = %lf' % (I, f0)
print('Iter = %4.4i Cost = %lf' % (I, f0), file=sys.stderr)

s = -df0
d0 = float(-s.T * s)
Expand All @@ -49,12 +49,12 @@ def CG(f, w, max_fc, **argc):
I += 1
f3, df3 = f(w + w3 * s, **argc)
fval.append(f3)
print >> sys.stderr, 'Iter = %4.4i Cost = %lf' % (I, f3)
print('Iter = %4.4i Cost = %lf' % (I, f3), file=sys.stderr)
if isnan(f3) or isinf(f3) or np.any(np.isnan(df3) + np.isinf(df3)):
raise NameError, ('error')
raise NameError('error')
success = True
except Exception, e:
print >> sys.stderr, 'Exception = %s' % e
except Exception as e:
print('Exception = %s' % e, file=sys.stderr)
trace()
w3 = (w2 + w3) / 2.0
if f3 < F0:
Expand All @@ -70,8 +70,8 @@ def CG(f, w, max_fc, **argc):
try:
w3 = w1 - d1 * (w2 - w1) ** 2 / (B + sqrt(B * B - A * d1 * (w2 - w1)))
# add sth
except Exception, e:
print >> sys.stderr, 'Exception = %s' % e
except Exception as e:
print('Exception = %s' % e, file=sys.stderr)
trace()
w3 = w2 * EXT
continue
Expand All @@ -94,8 +94,8 @@ def CG(f, w, max_fc, **argc):
A = 6 * (f2 - f4) / (w4 - w2) + 3 * (d4 + d2)
B = 3 * (f4 - f2) - (2 * d2 + d4) * (w4 - w2)
w3 = w2 + (sqrt(B * B - A * d2 * (w4 - w2) ** 2) - B) / A
except Exception, e:
print >> sys.stderr, 'Exception = %s' % e
except Exception as e:
print('Exception = %s' % e, file=sys.stderr)
trace()
w3 = float('NaN')
if isnan(w3) or isinf(w3):
Expand All @@ -107,12 +107,12 @@ def CG(f, w, max_fc, **argc):
w0, F0, dF0 = w + w3 * s, f3, df3
M -= 1
I += 1
print >> sys.stderr, 'Iter = %4.4i Cost = %lf' % (I, f3)
print('Iter = %4.4i Cost = %lf' % (I, f3), file=sys.stderr)
d3 = float(df3.T * s)

if abs(d3) < -SIG * d0 and f3 < f0 + w3 * RHO * d0:
w, f0 = w + w3 * s, f3
print >> sys.stderr, 'Line_search = %4.4i Cost = %lf' % (J, f0)
print('Line_search = %4.4i Cost = %lf' % (J, f0), file=sys.stderr)
J += 1
s = float((df3.T * df3 - df0.T * df3) / (df0.T * df0)) * s - df3
df0 = df3
Expand All @@ -128,7 +128,7 @@ def CG(f, w, max_fc, **argc):
s, d0 = -df0, float(-s.T * s)
w3 = 1.0 / (1.0 - d0)
LS_failed = True
print >> sys.stderr, ''
print('', file=sys.stderr)
# print >> sys.stderr, fval
# print >> sys.stderr, ''
return w
Expand All @@ -140,4 +140,4 @@ def f(x):

x = 100.0 * np.matrix(np.ones([1, 1]))
x_opt = CG(f, x, 40)
print x_opt
print(x_opt)
22 changes: 11 additions & 11 deletions common.py
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Original file line number Diff line number Diff line change
Expand Up @@ -35,9 +35,9 @@ def trace():
'''
try:
raise Exception
except:
except Exception:
f = sys.exc_info()[2].tb_frame.f_back
print >> sys.stderr, 'function =', f.f_code.co_name, ', line =', f.f_lineno
print('function =', f.f_code.co_name, ', line =', f.f_lineno, file=sys.stderr)


def read_dense_data(fp_data):
Expand Down Expand Up @@ -105,12 +105,12 @@ def plot_sequence_data(x, s, w = 128):
L = max(len(p), len(q))

d = L - len(q)
m = d / 2
m = d // 2
n = d - m
x_out.append(p + ' ' * (L - len(p)))
s_out.append('-' * m + q + '-' * n)

m = (L - 1) / 2
m = (L - 1) // 2
n = L - 1 - m
t_out.append(' ' * m + '|' + ' ' * n)

Expand All @@ -119,14 +119,14 @@ def plot_sequence_data(x, s, w = 128):
x_line = ' '.join(x_out)

if len(s_line) > w:
for I in range(len(s_line) / w + 1):
print >> sys.stderr, s_line[I * w : (I + 1) * w]
print >> sys.stderr, t_line[I * w : (I + 1) * w]
print >> sys.stderr, x_line[I * w : (I + 1) * w]
for I in range(len(s_line) // w + 1):
print(s_line[I * w : (I + 1) * w], file=sys.stderr)
print(t_line[I * w : (I + 1) * w], file=sys.stderr)
print(x_line[I * w : (I + 1) * w], file=sys.stderr)
else:
print >> sys.stderr, s_line
print >> sys.stderr, t_line
print >> sys.stderr, x_line
print(s_line, file=sys.stderr)
print(t_line, file=sys.stderr)
print(x_line , file=sys.stderr)


def map_label(Y):
Expand Down
6 changes: 3 additions & 3 deletions lr.py
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Original file line number Diff line number Diff line change
Expand Up @@ -38,7 +38,7 @@ def train(self, X, Y, lamb = 1.0):
self.w = SGD(self.cost, w, X, Y, opt, lamb = lamb)
'''

print 'Done with function evalution C = %d' % self.c
print('Done with function evalution C = %d' % self.c)

def test(self, X, Y):
m, n = X.shape
Expand Down Expand Up @@ -93,6 +93,6 @@ def cost(self, w, X, Y, lamb):
acc_train = clf.test(X_train, Y_train)
acc_test = clf.test(X_test, Y_test)

print >> sys.stderr, 'Training accuracy for Logistic Regression : %lf%%' % (100.0 * acc_train)
print >> sys.stderr, 'Test accuracy for Logistic Regression : %lf%%' % (100.0 * acc_test)
print('Training accuracy for Logistic Regression : %lf%%' % (100.0 * acc_train), file=sys.stderr)
print('Test accuracy for Logistic Regression : %lf%%' % (100.0 * acc_test), file=sys.stderr)

20 changes: 10 additions & 10 deletions nb.py
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Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@ def __init__(self):
def train(self, X, Y, event_model = Bernoulli, smooth = 0.5):

if event_model != Bernoulli and event_model != Multinomial:
print >> sys.stderr, 'event_model parameter error'
print('event_model parameter error', file=sys.stderr)
return

self.priors.clear()
Expand Down Expand Up @@ -69,15 +69,15 @@ def train(self, X, Y, event_model = Bernoulli, smooth = 0.5):
for y in self.priors:
self.priors[y] /= 1.0 * n

print >> sys.stderr, '-' * 128
print >> sys.stderr, 'Top 5 strong features for each class:'
print >> sys.stderr, '-' * 128
print('-' * 128, file=sys.stderr)
print('Top 5 strong features for each class:', file=sys.stderr)
print('-' * 128, file=sys.stderr)

for y in self.prob:
ftrs = sorted(self.prob[y].items(), key = lambda x : x[1], reverse = True)
print >> sys.stderr, y + '\t' + '\t'.join([k + ':' + str(round(v, 5)) for k,v in ftrs[0 : 5]])
print(y + '\t' + '\t'.join([k + ':' + str(round(v, 5)) for k,v in ftrs[0 : 5]]), file=sys.stderr)

print >> sys.stderr, '-' * 128
print('-' * 128, file=sys.stderr)

def test(self, X, Y):

Expand Down Expand Up @@ -114,13 +114,13 @@ def test(self, X, Y):
acc_train = clf.test(X_train, Y_train)
acc_test = clf.test(X_test, Y_test)

print >> sys.stderr, 'Training accuracy for Multi-variate Bernoulli event model : %f%%' % (100 * acc_train)
print >> sys.stderr, 'Test accuracy for Multi-variate Bernoulli event model : %f%%' % (100 * acc_test)
print('Training accuracy for Multi-variate Bernoulli event model : %f%%' % (100 * acc_train), file=sys.stderr)
print('Test accuracy for Multi-variate Bernoulli event model : %f%%' % (100 * acc_test), file=sys.stderr)

clf.train(X_train, Y_train, Multinomial)
acc_train = clf.test(X_train, Y_train)
acc_test = clf.test(X_test, Y_test)

print >> sys.stderr, 'Training accuracy for Multinomial event model : %f%%' % (100 * acc_train)
print >> sys.stderr, 'Test accuracy for Multinomial event model : %f%%' % (100 * acc_test)
print('Training accuracy for Multinomial event model : %f%%' % (100 * acc_train), file=sys.stderr)
print('Test accuracy for Multinomial event model : %f%%' % (100 * acc_test), file=sys.stderr)

4 changes: 2 additions & 2 deletions regression.py
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Original file line number Diff line number Diff line change
Expand Up @@ -42,7 +42,7 @@ def train(self, X, Y, lamb = 0.0001):
'''
self.w = CG(self.cost, w, 200, X = X, Y = Y, lamb = lamb)

print 'Done with function evalution C = %d' % self.c
print('Done with function evalution C = %d' % self.c)

def test(self, X, Y):
m, n = X.shape
Expand All @@ -52,7 +52,7 @@ def test(self, X, Y):
r = X * self.w - Y
rmse = sqrt(float(r.T * r) / len(Y))

print >> sys.stderr, 'Test RMSE : %lf' % rmse
print('Test RMSE : %lf' % rmse, file=sys.stderr)
return rmse

# (1 / (2 * m)) * (X * w.T - Y) ^ 2 + (lamb / 2) * (w.T * w)
Expand Down