scripts: gh-pages deployment script

Signed-off-by: John Andersen <[email protected]>

Author: John Andersen

docs/index.rst

@@ -15,22 +15,14 @@ generation and model definition. So that we as developers and researchers can
 quickly and easily plug and play various pieces of data with various model
 implementations.
 
-Here's a quick demo showing how DFFML can be used to train on the iris dataset.
 The more we build up the library of plugins (which anyone can maintain, they
 don't have to be contributed upstream unless you want to) the more variations on
-model implementations and feature data generators we all have to work with.
+model implementations, feature data generators, and database backend
+abstractions, we all have to work with.
 
 Right now we've released a wrapper around the Tensorflow DNN estimator, and a
 set of feature generators which gather data from git repositories.
 
-## Example Usage
-
-To start using `dffml` for data set generation with a single CLI command see
-[DFFML Features for Git Version Control](feature/git/README.md).
-
-To start using `dffml` for machine learning on existing CSV data (Iris demo)
-see [DFFML Models for Tensorflow Library](model/tensorflow/README.md).
-
 .. toctree::
    :glob:
    :maxdepth: 2

scripts/docs-deploy.sh

@@ -0,0 +1,11 @@
+#!/usr/bin/env sh
+set -e
+
+rm -rf pages/.git
+cp -r .git pages/.git
+cd pages/
+git branch -D gh-pages
+git checkout --orphan gh-pages
+git add -A
+git commit -sam 'gh-pages'
+git push -u origin -f gh-pages