Skip to content

Add implementation of the multi-layer perceptron classifier from scratch #12756

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

Open
wants to merge 7 commits into
base: master
Choose a base branch
from
Open

Add implementation of the multi-layer perceptron classifier from scratch #12756

Changes from 1 commit
Commits
Show all changes
7 commits
Select commit Hold shift + click to select a range
73b9f07
add a code file of the multi-layer perceptron classifier from scrach
duuan May 14, 2025
d02e27b
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] May 14, 2025
53a35b1
Delete tqdm in multilayer_perceptron_classifier_from_scratch.py
duuan May 14, 2025
a7a4e78
Update multilayer_perceptron_classifier_from_scratch.py
duuan May 14, 2025
aa823d8
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] May 14, 2025
eccf386
Update multilayer_perceptron_classifier_from_scratch.py
duuan May 14, 2025
64e52d1
Correct errors in multilayer_perceptron_classifier_from_scratch.py
duuan May 14, 2025
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
Prev Previous commit
Correct errors in multilayer_perceptron_classifier_from_scratch.py
  • Loading branch information
@duuan
duuan authored May 14, 2025
commit 64e52d10a121003dc027b376b31818fdfdcbf7cb
2 changes: 1 addition & 1 deletion machine_learning/multilayer_perceptron_classifier_from_scratch.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -42,7 +42,7 @@ def __init__(self, features: list[list[float]], labels: list[int]) -> None:

def get_train_test_data(
self,
) -> tuple[np.ndarray, np.ndarray, list[np.ndarray], list[np.ndarray]]:
) -> tuple[np.ndarray, list[np.ndarray], np.ndarray, list[np.ndarray]]:
"""
Splits the data into training and testing sets.
Here, we manually split the data.
Expand Down