Skip to content
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

style: format code with Autopep8, Black, ClangFormat, dotnet-format, Go fmt, Gofumpt, Google Java Format, isort, Ktlint, PHP CS Fixer, Prettier, RuboCop, Ruff Formatter, Rustfmt, Scalafmt, StandardJS, StandardRB, swift-format and Yapf #70

Merged
merged 1 commit into from
May 10, 2024
Merged

style: format code with Autopep8, Black, ClangFormat, dotnet-format, Go fmt, Gofumpt, Google Java Format, isort, Ktlint, PHP CS Fixer, Prettier, RuboCop, Ruff Formatter, Rustfmt, Scalafmt, StandardJS, StandardRB, swift-format and Yapf #70

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 fraud_detection/fraud_response.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -6,13 +6,13 @@ def __init__(self, fraud_detection_model, anomaly_detection):
def respond_to_fraud(self, transactions):
for transaction in transactions:
fraud_level = self.fraud_detection_model.predict_fraud(transaction)
if fraud_level == 'fraudulent':
if fraud_level == "fraudulent":
anomaly_score = self.anomaly_detection.detect_anomalies(transaction)
if anomaly_score == -1:
# Implement fraud response strategies here
# For example, you could flag the transaction for review or decline it altogether
print('Fraudulent transaction detected: Flagged for review')
print("Fraudulent transaction detected: Flagged for review")
else:
print('Anomalous transaction detected: Flagged for review')
print("Anomalous transaction detected: Flagged for review")
else:
print('Non-fraudulent transaction detected: Transaction approved')
print("Non-fraudulent transaction detected: Transaction approved")
Loading