mirror of
https://github.com/TheAlgorithms/Python.git
synced 2024-11-23 21:11:08 +00:00
Remove \r from strings (#1622)
* Remove \r from strings * Satisfy tensorflow with numpy>=1.17.4
This commit is contained in:
parent
1cbeaa252a
commit
b9bff8f3a7
|
@ -85,7 +85,7 @@ class SmoSVM(object):
|
|||
i1, i2 = self.choose_alpha.send(state)
|
||||
state = None
|
||||
except StopIteration:
|
||||
print("Optimization done!\r\nEvery sample satisfy the KKT condition!")
|
||||
print("Optimization done!\nEvery sample satisfy the KKT condition!")
|
||||
break
|
||||
|
||||
# 2: calculate new alpha2 and new alpha1
|
||||
|
@ -453,7 +453,7 @@ def count_time(func):
|
|||
|
||||
@count_time
|
||||
def test_cancel_data():
|
||||
print("Hello!\r\nStart test svm by smo algorithm!")
|
||||
print("Hello!\nStart test svm by smo algorithm!")
|
||||
# 0: download dataset and load into pandas' dataframe
|
||||
if not os.path.exists(r"cancel_data.csv"):
|
||||
request = urllib.request.Request(
|
||||
|
@ -499,13 +499,13 @@ def test_cancel_data():
|
|||
for i in range(test_tags.shape[0]):
|
||||
if test_tags[i] == predict[i]:
|
||||
score += 1
|
||||
print(f"\r\nall: {test_num}\r\nright: {score}\r\nfalse: {test_num - score}")
|
||||
print(f"\nall: {test_num}\nright: {score}\nfalse: {test_num - score}")
|
||||
print(f"Rough Accuracy: {score / test_tags.shape[0]}")
|
||||
|
||||
|
||||
def test_demonstration():
|
||||
# change stdout
|
||||
print("\r\nStart plot,please wait!!!")
|
||||
print("\nStart plot,please wait!!!")
|
||||
sys.stdout = open(os.devnull, "w")
|
||||
|
||||
ax1 = plt.subplot2grid((2, 2), (0, 0))
|
||||
|
|
|
@ -4,7 +4,7 @@ fake_useragent
|
|||
flake8
|
||||
matplotlib
|
||||
mypy
|
||||
numpy
|
||||
numpy>=1.17.4
|
||||
opencv-python
|
||||
pandas
|
||||
pillow
|
||||
|
|
Loading…
Reference in New Issue
Block a user