This is my code
for i,val in enumerate(DS3Y_pred_trans):
if val < 1.5:
DS3Y_pred_trans[i] = 1
else:
DS3Y_pred_trans[i] = 2
There are values less than 1.5 in the list, but the out is all 2s.
What am I missing?
This is the whole code.
from numpy import genfromtxt
DS3X_train = np.genfromtxt('train.csv', dtype=float, delimiter=',')
print DS3X_train
DS3Y_train = np.genfromtxt('train_labels.csv', dtype=int, delimiter=',' )
print DS3Y_train
DS3X_test = np.genfromtxt('test.csv', dtype=float, delimiter=',')
print DS3X_test
DS3Y_test = np.genfromtxt('test_labels.csv', dtype=int, delimiter=',' )
print DS3Y_test
DS3X_train_trans = zip(*DS3X_train)
cov_train = np.cov(DS3X_train_trans)
U, s, V = np.linalg.svd(cov_train, full_matrices=True)
u = U[:,:-1]
u_trans = zip(*u)
DS3X_train_reduced = np.dot(u_trans,DS3X_train_trans)
b = np.ones((3,2000))
b[1:,:] = DS3X_train_reduced
print "\n"
DS3X_train_reduced = b
DS3X_train_reduced_trans = zip(*DS3X_train_reduced)
temp = np.dot(DS3X_train_reduced,DS3X_train_reduced_trans)
try:
inv_temp = np.linalg.inv(temp)
except np.linalg.LinAlgError:
pass
else:
psue_inv = np.dot(inv_temp,DS3X_train_reduced)
print psue_inv.shape
weight = np.dot(psue_inv,DS3Y_train)
weight_trans = zip(weight)
print weight_trans
DS3X_test_trans = zip(*DS3X_test)
DS3X_test_reduced = np.dot(u_trans,DS3X_test_trans)
b = np.ones((3,400))
b[1:,:] = DS3X_test_reduced
print "\n"
print b
DS3X_test_reduced = b
print DS3X_test_reduced.shape
DS3X_test_reduced_trans = zip(*DS3X_test_reduced)
DS3Y_pred = np.dot(DS3X_test_reduced_trans,weight_trans)
print DS3Y_pred
print DS3Y_pred.shape
DS3Y_pred_trans = zip(DS3Y_pred)
print repr(DS3Y_pred_trans[0])
for i,val in enumerate(DS3Y_pred_trans):
if val < 1.5:
DS3Y_pred_trans[i] = 1
else:
DS3Y_pred_trans[i] = 2
print DS3Y_pred
now regression using indicator variable and graph plottings
DS3Y_pred_trans = [0, 0.5, 1, 1.5, 2, 2.5, 3]this works fine for me. What do you have inDS3Y_pred_trans?val < 1.5is then always going to be false.print DS3Y_pred_trans; strings will be represented as Python string literals, e.g. with quotes.