Fish predictor with KNN
Project description
fishknn
Usage
from fishknn.what_fish_name import fish_pred
fish_pred(<length>, <weight>, <fish_class>)
# fish_class = 0 : Bream, 1 : Smelt
result
데이터가 아예 없을때
# result
학습용 데이터가 없으므로 데이터를 저장합니다. 정답 : Bream
충분한 데이터가 없을 때
fish_pred(15, 150, 0)
# result
학습용 데이터가 부족하므로 데이터를 추가합니다. 현재 데이터의 수 : 5
데이터가 충분하다면?
fish_pred(6.7, 9.3, 1)
# result
오답입니다. 정답은 Smelt입니다.
예측값 : Bream
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
fishknn-0.1.2.tar.gz
(2.4 kB
view details)
Built Distribution
File details
Details for the file fishknn-0.1.2.tar.gz
.
File metadata
- Download URL: fishknn-0.1.2.tar.gz
- Upload date:
- Size: 2.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: pdm/2.18.1 CPython/3.11.9 Linux/5.15.153.1-microsoft-standard-WSL2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | bbb300f36cd98a91f0d52dfde29ed7a3c8b7841a32393cf01186dc8edc7855d4 |
|
MD5 | a28ec37e363bc52f38d0266d91864e98 |
|
BLAKE2b-256 | a4103944605929a67433d6e444fa4f464b98f1f099b2d8f661fef6d987bb619d |
File details
Details for the file fishknn-0.1.2-py3-none-any.whl
.
File metadata
- Download URL: fishknn-0.1.2-py3-none-any.whl
- Upload date:
- Size: 2.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: pdm/2.18.1 CPython/3.11.9 Linux/5.15.153.1-microsoft-standard-WSL2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 61e408acff0733fa0e35ce823fc4e4f4a359ce1190b47e99dfc82912068a1b4d |
|
MD5 | f74bee5514902ec339503b2f550bfffe |
|
BLAKE2b-256 | 0e91169137a3bde8195a9922222ad6fbec45f455e22881e42288163fa3eac819 |