Skip to content

Remove doctest in xgboost_regressor.py main function#10422

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
cclauss merged 10 commits into from
Oct 14, 2023
Merged

Remove doctest in xgboost_regressor.py main function #10422

Changes from all commits
Commits
Show all changes
10 commits
Select commit Hold shift + click to select a range
e9ea901
updating DIRECTORY.md
Oct 6, 2023
6b243e0
updating DIRECTORY.md
Oct 8, 2023
f841d1d
updating DIRECTORY.md
Oct 8, 2023
6c0b529
updating DIRECTORY.md
Oct 9, 2023
cd3929c
Merge branch 'TheAlgorithms:master' into main
tianyizheng02 Oct 9, 2023
f83709d
Merge branch 'TheAlgorithms:master' into main
tianyizheng02 Oct 10, 2023
3aa22b8
Merge branch 'TheAlgorithms:master' into main
tianyizheng02 Oct 11, 2023
0cf7fcf
Merge branch 'TheAlgorithms:master' into main
tianyizheng02 Oct 14, 2023
db7b60d
Merge branch 'TheAlgorithms:master' into main
tianyizheng02 Oct 14, 2023
b361c27
Update xgboost_regressor.py
tianyizheng02 Oct 14, 2023
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
12 changes: 6 additions & 6 deletions machine_learning/xgboost_regressor.py
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -39,13 +39,13 @@ def xgboost(

def main() -> None:
"""
>>> main()
Mean Absolute Error : 0.30957163379906033
Mean Square Error : 0.22611560196662744

The URL for this algorithm
https://xgboost.readthedocs.io/en/stable/
California house price dataset is used to demonstrate the algorithm.

Expected error values:
Mean Absolute Error: 0.30957163379906033
Mean Square Error: 0.22611560196662744
"""
# Load California house price dataset
california = fetch_california_housing()
Expand All@@ -55,8 +55,8 @@ def main() -> None:
)
predictions = xgboost(x_train, y_train, x_test)
# Error printing
print(f"Mean Absolute Error: {mean_absolute_error(y_test, predictions)}")
print(f"Mean Square Error: {mean_squared_error(y_test, predictions)}")
print(f"Mean Absolute Error: {mean_absolute_error(y_test, predictions)}")
print(f"Mean Square Error: {mean_squared_error(y_test, predictions)}")


if __name__ == "__main__":
Expand Down