| Name | fishknn JSON |
| Version |
0.1.4
JSON |
| download |
| home_page | None |
| Summary | Fish predictor with KNN |
| upload_time | 2024-09-09 00:31:24 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.11 |
| license | MIT |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# fishknn
## Usage - bash
### 예측 및 데이터 저장
```bash
$ t_cmd
```
### 시각화
```bash
$ scat_plot
```
### Result

## Usage - python
```python
from fishknn.what_fish_name import fish_pred
fish_pred(<length>, <weight>, <fish_class>)
# fish_class = 0 : Bream, 1 : Smelt
```
## result
### 데이터가 아예 없을때
```python
# result
학습용 데이터가 없으므로 데이터를 저장합니다. 정답 : Bream
```
### 충분한 데이터가 없을 때
```python
fish_pred(15, 150, 0)
# result
학습용 데이터가 부족하므로 데이터를 추가합니다. 현재 데이터의 수 : 5
```
### 데이터가 충분하다면?
```python
fish_pred(6.7, 9.3, 1)
# result
오답입니다. 정답은 Smelt입니다.
예측값 : Bream
```
### Data Plot
```python
from fishknn.what_fish_name import watch_data
watch_data()
```
Raw data
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