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Benjamin Bolte
2016-08-31 19:48:38 -04:00
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@@ -21,10 +21,20 @@ git clone https://github.com/codekansas/insurance_qa_python
export INSURANCE_QA=$(pwd)/insurance_qa_python
# Run insurance_qa_eval.py
git clone https://github.com/codekansas/keras-language-modeling
cd keras-language-modeling/
python insurance_qa_eval.py
````
Alternatively, I wrote a script to get started on a Google Cloud Platform instance (Ubuntu 16.04) which can be run via
````bash
cd ~
git clone https://github.com/codekansas/keras-language-modeling
cd keras-language-modeling
source install.py
````
I've been working on making these models available out-of-the-box. You need to install the Git branch of Keras (and maybe make some modifications) in order to run some of these models; the Keras project can be found [here](https://github.com/fchollet/keras).
The runnable program is `insurance_qa_eval.py`. This will create a `models/` directory which will store a history of the model's weights as it is created. You need to set an environment variable to tell it where the INSURANCE_QA dataset is.