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Add demo

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Jactus
2020-12-15 16:15:33 +08:00
committed by you-n-g
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commit 192c2dc5ef
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README.md
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@@ -61,7 +61,10 @@ At the module level, Qlib is a platform that consists of the above components. T
This quick start guide tries to demonstrate This quick start guide tries to demonstrate
1. It's very easy to build a complete Quant research workflow and try your ideas with _Qlib_. 1. It's very easy to build a complete Quant research workflow and try your ideas with _Qlib_.
1. Though with *public data* and *simple models*, machine learning technologies **work very well** in practical Quant investment. 2. Though with *public data* and *simple models*, machine learning technologies **work very well** in practical Quant investment.
Here is a quick **[demo](https://terminalizer.com/view/3f24561a4470)** shows how to install ``Qlib``, and run LightGBM with ``qrun``. **But**, please make sure you have already prepared the data following the [instruction](#data-preparation).
## Installation ## Installation

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docs/_static/demo.sh vendored Normal file
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#!/bin/sh
git clone https://github.com/microsoft/qlib.git
cd qlib
ls
pip install pyqlib
# or
# pip install numpy
# pip install --upgrade cython
# python setup.py install
cd examples
ls
qrun benchmarks/LightGBM/workflow_config_lightgbm_Alpha158.yaml