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        "description": "# ML_Toolbox\n\n![](https://img.shields.io/badge/language-python3.6-5FA8E7.svg?style=flat-square)\n[![](https://img.shields.io/badge/codebeat-A-brightgreen.svg?style=flat-square)](https://codebeat.co/projects/github-com-fredliang44-ml_toolbox-master)\n\n\n## Visualization\nFrom [bokeh](https://bokeh.pydata.org)\n\n## Install\n\n``` bash\npip3 install fred_toolbox\n```\n\n## Example\n\n### Visualization\n\n\n\n```python\nfrom fred_toolbox import vis as v\n\nx = [0.1, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0]\ny  = [i**4 for i in x]\n\nchart = v.Line(x,y)\nchart.x_label = \"testx\"\nchart.y_label = \"testy\"\nchart.show()\n```\n\n![Line graph](https://img.l-do.cn/line.png-github)\n\n```python\nfrom fred_toolbox import vis as v\n\nx1 = list(range(150))\ny1 = [i**2 for i in x]\nx2 = list(range(150))\ny2 = [i**1.5 for i in x]\n\nchart = v.Dot(x,y,x,[i**1.5 for i in y])\nchart.label1 = \"testx\"\nchart.label2 = \"testy\"\nchart.title = \"test\"\nchart.show()\n```\n\n![Dot graph](https://img.l-do.cn/dot.png-github)\n",
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