From a5d10ee06df036a8523cfaa0f3b532b3848db776 Mon Sep 17 00:00:00 2001 From: Benjamin Bolte Date: Wed, 31 Aug 2016 19:48:38 -0400 Subject: [PATCH] Update README.md --- README.md | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/README.md b/README.md index 246bcc5..1537805 100644 --- a/README.md +++ b/README.md @@ -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.