Week1 program - using scikit-learn KNeighborsClassifier
Project description
knn [K-Nearest Neighbor Classifier]
Weekly Programming no. #1: KNN
- Using
sklearn.neighbors.KNeighborsClassifier
프로그램 동작 방식
- 학습된 모델이 없는 상태에서 출발
- 길이
length, 무게weight데이터를 입력 > 프로그램이 예측 값을 출력 - 예측값 출력 후 프롬프트를 통해 사용자가 예측값의 정답 유무를 다시 입력
- 위 과정을 반복하며 모델을 최적화
Usage
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
say_week1_knn-0.1.0.tar.gz
(4.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file say_week1_knn-0.1.0.tar.gz.
File metadata
- Download URL: say_week1_knn-0.1.0.tar.gz
- Upload date:
- Size: 4.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: pdm/2.16.1 CPython/3.12.4 Linux/5.15.153.1-microsoft-standard-WSL2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
eac9bea7da6dbe47d5959b558055ab4835f7d38fd76a0d4359b9b11be1acd7fd
|
|
| MD5 |
8b063f986ab146383b7a78c2c263f914
|
|
| BLAKE2b-256 |
b59a4084cc734ca9efb61a776a397c01f61c6134112a7cb8a81b976b2bad5b25
|
File details
Details for the file say_week1_knn-0.1.0-py3-none-any.whl.
File metadata
- Download URL: say_week1_knn-0.1.0-py3-none-any.whl
- Upload date:
- Size: 6.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: pdm/2.16.1 CPython/3.12.4 Linux/5.15.153.1-microsoft-standard-WSL2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
634385107b20ab8dc57a989f8f6ed3dc673054a41214e0e085f1372145fbff41
|
|
| MD5 |
5ad673cef148190b29fcd6e6d2dc085e
|
|
| BLAKE2b-256 |
4d2c17b8b22e6e59d63ce010bf4f877842620478587d424ec3ea7af6bea74f0c
|