Skip to content

updated mnist_average_darkness.py for Python 3.5.2 #1

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
MichalDanielDobrzanski merged 1 commit into from
Feb 9, 2017
Merged

updated mnist_average_darkness.py for Python 3.5.2 #1

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 4 additions & 4 deletions mnist_average_darkness.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -33,8 +33,8 @@ def main():
# correctly
num_correct = sum(int(guess_digit(image, avgs) == digit)
for image, digit in zip(test_data[0], test_data[1]))
print "Baseline classifier using average darkness of image."
print "%s of %s values correct." % (num_correct, len(test_data[1]))
print("Baseline classifier using average darkness of image.")
print("{0} of {1} values correct.".format(num_correct, len(test_data[1])))

def avg_darknesses(training_data):
""" Return a defaultdict whose keys are the digits 0 through 9.
Expand All @@ -47,7 +47,7 @@ def avg_darknesses(training_data):
digit_counts[digit] += 1
darknesses[digit] += sum(image)
avgs = defaultdict(float)
for digit, n in digit_counts.iteritems():
for digit, n in digit_counts.items():
avgs[digit] = darknesses[digit] / n
return avgs

Expand All @@ -57,7 +57,7 @@ def guess_digit(image, avgs):
assumed to be a defaultdict whose keys are 0...9, and whose values
are the corresponding average darknesses across the training data."""
darkness = sum(image)
distances = {k: abs(v-darkness) for k, v in avgs.iteritems()}
distances = {k: abs(v-darkness) for k, v in avgs.items()}
return min(distances, key=distances.get)

if __name__ == "__main__":
Expand Down