add LSTNet example

example/multivariate_time_series/README.md

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+# Implementation
+
+This tutorial shows how to implement LSTNet, a multivariate time series forecasting model submitted by Wei-Cheng Chang, Yiming Yang, Hanxiao Liu and Guokun Lai in their paper [Modeling Long- and Short-Term Temporal Patterns](https://arxiv.org/pdf/1703.07015.pdf) in March 2017.  This model achieved state of the art performance on 3 of the 4 public datasets it was evaluated on.
+
+## Running the code
+
+1. Download and unpack the public electricity dataset used in the paper.  This dataset comprises measurements of electricity consumption in kWh every hour from 2012 to 2014 for 321 different clients.
+
+```s
+$ wget https://github.com/laiguokun/multivariate-time-series-data/raw/master/electricity/electricity.txt.gz
+$ gunzip electricity.txt.gz
+```
+
+2. preprocess data with `python preprocess.py`
+3. set model hyperparameters in `/src/config.py`
+4. `python train.py`