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A toolbox for machine learning and data processing

Project description

# ML_Toolbox

![](https://img.shields.io/badge/language-python3.6-5FA8E7.svg?style=flat-square)
[![](https://img.shields.io/badge/codebeat-A-brightgreen.svg?style=flat-square)](https://codebeat.co/projects/github-com-fredliang44-ml_toolbox-master)


## Visualization
From [bokeh](https://bokeh.pydata.org)

## Install

``` bash
pip3 install fred_toolbox
```

## Example

### Visualization



```python
from fred_toolbox import vis as v

x = [0.1, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0]
y = [i**4 for i in x]

chart = v.Line(x,y)
chart.x_label = "testx"
chart.y_label = "testy"
chart.show()
```

![Line graph](https://img.l-do.cn/line.png-github)

```python
from fred_toolbox import vis as v

x1 = list(range(150))
y1 = [i**2 for i in x]
x2 = list(range(150))
y2 = [i**1.5 for i in x]

chart = v.Dot(x,y,x,[i**1.5 for i in y])
chart.label1 = "testx"
chart.label2 = "testy"
chart.title = "test"
chart.show()
```

![Dot graph](https://img.l-do.cn/dot.png-github)

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