travis; wine

.travis.yml

@@ -13,6 +13,7 @@ notifications:
 script:
  - if [[ -a .git/shallow ]]; then git fetch --unshallow; fi
  - julia -e 'Pkg.clone("Images"); Pkg.clone("ImageMagick"); Pkg.build("ImageMagick")'
+ - julia -e 'Pkg.clone("Cairo"); Pkg.build("Cairo")'
  - julia -e 'Pkg.clone(pwd()); Pkg.build("Plots")'
  - julia -e 'Pkg.test("Plots"; coverage=true)'
  - julia -e 'cd(Pkg.dir("Plots")); Pkg.add("Coverage"); using Coverage; Coveralls.submit(process_folder()); Codecov.submit(process_folder())'

docs/readme_template.md

@@ -3,7 +3,8 @@
 [![Build Status](https://travis-ci.org/tbreloff/Plots.jl.svg?branch=master)](https://travis-ci.org/tbreloff/Plots.jl)
 [![Plots](http://pkg.julialang.org/badges/Plots_0.3.svg)](http://pkg.julialang.org/?pkg=Plots&ver=0.3)
 [![Plots](http://pkg.julialang.org/badges/Plots_0.4.svg)](http://pkg.julialang.org/?pkg=Plots&ver=0.4)
-[![Plots](http://pkg.julialang.org/badges/Plots_0.5.svg)](http://pkg.julialang.org/?pkg=Plots&ver=0.5)
+[![Coverage Status](https://coveralls.io/repos/tbreloff/Plots.jl/badge.svg?branch=master)](https://coveralls.io/r/tbreloff/Plots.jl?branch=master)
+[![codecov.io](http://codecov.io/github/tbreloff/Plots.jl/coverage.svg?branch=master)](http://codecov.io/github/tbreloff/Plots.jl?branch=master)
 
 #### Author: Thomas Breloff (@tbreloff)
 

examples/meetup/svm.ipynb

@@ -0,0 +1,76 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "using Plots, DataFrames, OnlineStats\n",
+    "gadfly(); default(size=(500,300))\n",
+    "df = readtable(joinpath(Pkg.dir(\"Plots\"), \"examples\", \"meetup\", \"winequality-white.csv\"), separator=';');"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "y = float(df[:quality] .> 6)\n",
+    "x = Array(df[:,1:11]);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "ProxGrad(η = 1.0)"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# logistic regression\n",
+    "reg = OnlineStats.ProxGrad()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Julia 0.4.0",
+   "language": "julia",
+   "name": "julia-0.4"
+  },
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia",
+   "version": "0.4.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}