code coverage at coveralls.io

.travis.yml

@@ -25,16 +25,17 @@ matrix:
           env: PYVERSION=""
 
 install:
-#    - sudo apt-get update
-#    - sudo apt-get upgrade --yes
     - pip${PYVERSION} install --upgrade pip setuptools wheel
     - pip${PYVERSION} install coveralls codecov
     - pip${PYVERSION} install --only-binary=numpy,scipy scipy
     - pip${PYVERSION} install scikit-learn
     - pip${PYVERSION} install git+https://github.com/natekupp/ffx
 
+before_script:
+    - export PYTHONPATH=$(pwd):$PYTHONPATH;
+
 script:
-  - python${PYVERSION}  tests/x_square_test.py
+  - coverage${PYVERSION} run --source ffx tests/x_square_test.py
 
 after_success:
   - coveralls

Readme.md

@@ -1,5 +1,8 @@
 #FFX: Fast Function Extraction
 
+[![Build Status at Travis CI](https://travis-ci.org/natekupp/ffx.svg?branch=master)](https://travis-ci.org/natekupp/ffx)
+[![Coverage Status](https://coveralls.io/repos/github/natekupp/ffx/badge.svg?branch=master)](https://coveralls.io/github/natekupp/ffx?branch=master)
+
 FFX is a technique for symbolic regression. It is:
 
 - __Fast__ - runtime 5-60 seconds, depending on problem size (1GHz cpu)