add travis build

Author: rwieruch

.travis.yml

@@ -0,0 +1,10 @@
+language: node_js
+
+node_js:
+  - stable
+
+install:
+  - npm install
+
+script:
+  - npm test

README.md

@@ -1,5 +1,7 @@
 # Spam Classifier with SVM in JavaScript
 
+[![Build Status](https://travis-ci.org/javascript-machine-learning/svm-spam-classifier-javascript.svg?branch=master)](https://travis-ci.org/javascript-machine-learning/svm-spam-classifier-javascript)
+
 This example project demonstrates how [support vector machine (SVM)](https://en.wikipedia.org/wiki/Support_vector_machine) may be used to solve a classification problem (spam filter) in JavaScript. The [SMS Spam Collection Dataset from kaggle](https://www.kaggle.com/uciml/sms-spam-collection-dataset/data) is used for the purpose of training and testing the algorithm. Before training the algorithm, the data set is prepared with common practices to finally extract a feature vector for each SMS. Furthermore, [svm.js](https://github.com/karpathy/svmjs) is used for a ready to go SVM implementation.
 
 As alternative, uncomment the code to use [Naive Bayes classifier](https://en.wikipedia.org/wiki/Naive_Bayes_classifier) instead of SVM from the [natural](https://github.com/NaturalNode/natural) library.

package.json

@@ -4,7 +4,8 @@
   "description": "",
   "main": "index.js",
   "scripts": {
-    "start": "nodemon src/index.js --exec babel-node --presets es2015,stage-2"
+    "start": "nodemon src/index.js --exec babel-node --presets es2015,stage-2",
+    "test": "echo \"No test specified\" && exit 0"
   },
   "keywords": [],
   "author": "",