As mentioned above, I will show you the program and terminal.
#coding:UTF-8
from sklearn import data sets, externals, linear_model, model_selection
import time
print('Get MNIST:',end=',flush=True)
mnist=datasets.fetch_mldata('MNIST original', data_home='.')
data, label = mnist.data, mnist.target
print ('Completed')
Train_SIZE=600
TEST_SIZE=100
t=model_selection.train_test_split(
data, label, train_size=TRAIN_SIZE, test_size=TEST_SIZE)
train_data, test_data, train_label, test_label=t
print('Training data:',train_data.shape')
print('Test data:', test_data.shape')
print('Learning:', end=', flush=True)
old=time.time()
model=linear_model.LogisticRegression().fit(train_data,train_label)
print(time.time()-old, 'seconds')
externals.joblib.dump(model, 'lr.model')
print('Test Results:')
predict=model.predict(test_data)
count = [[0 for i in range(10)] for jin range(10)]
for i in range (TEST_SIZE):
count[int(predict[i])][int(test_label[i])]+=1
print('Answer', end=')
for i in range (10):
print('[{0}]'.format(i), end=')
print()
for i in range (10):
print('Predicted [{0}]'.format(i), end=')
for jin range (10):
print('{0:6d}'.format(count[i][j]), end=')
print()
print('Answer Rate:', model.score(test_data, test_label)*100, '%')
The terminals are as follows.
ShouzounoiMac: WakaruPython syamaguchi$python lr_train.py
File "lr_train.py", line 6
print('Get MNIST:',end=',flush=True)
^
SyntaxError: invalid syntax
I looked it up on the Internet, but I'm not sure.Please.
python python3
Maybe it's because it's running in a version earlier than Python 3.3. Please use Python 3.3 or later.
$python
Python 2.7.12 (default, Nov 12 2018, 14:36:49)
[GCC 5.4.0 20160609] on linux 2
Type "help", "copyright", "credits" or "license" for more information.
>> print ('Get MNIST:', end=', flush=True)
File "<stdin>", line 1
print('Get MNIST:',end=',flush=True)
^
SyntaxError: invalid syntax
$ python3
Python 3.5.2 (default, Nov 12 2018, 13:43:14)
[GCC 5.4.0 20160609] on linux
Type "help", "copyright", "credits" or "license" for more information.
>> print ('Get MNIST:', end=', flush=True)
Retrieving MNIST: > > >
Reference
https://docs.python.org/3.3/library/functions.html#print
Changed in version 3.3: Added the flush keyword argument.
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