Refactor and document

.gitignore

@@ -36,5 +36,7 @@ Theano.suo
 *.bak
 .ipynb_checkpoints
 
-doc/d3printing/GSoC/150724_opfrom/bundle/
-doc/d3printing/GSoC/150724_opfrom/bundle2/
+doc/d3viz/GSoC/150724_opfrom/bundle/
+doc/d3viz/GSoC/150724_opfrom/bundle2/
+doc/d3viz/GSoC/150819
+doc/d3viz/GSoC/150820

doc/d3printing/logreg/logreg.ipynb

-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Couldn't import dot_parser, loading of dot files will not be possible.\n"
-     ]
-    }
-   ],
-   "source": [
-    "import numpy as np\n",
-    "import theano\n",
-    "import theano.tensor as T\n",
-    "import theano.d3printing.d3printing as d3p\n",
-    "\n",
-    "%load_ext autoreload\n",
-    "%autoreload 2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# Logistic regression model\n",
-    "num_in = 64**2\n",
-    "num_out = 10\n",
-    "W = theano.shared(np.random.randn(num_in, num_out), name='W', borrow=True)\n",
-    "b = theano.shared(np.random.randn(num_out), name='b', borrow=True)\n",
-    "X = T.dmatrix('X')\n",
-    "y = T.nnet.softmax(X.dot(W) + b)\n",
-    "pred = y > 0.5"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The output file is available at logreg_y.html\n"
-     ]
-    }
-   ],
-   "source": [
-    "d3p.d3print(y, 'logreg_y.html')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "[open](./logreg_y.html)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The output file is available at logreg_pred.html\n"
-     ]
-    }
-   ],
-   "source": [
-    "d3p.d3print(pred, 'logreg_pred.html')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "[open](./logreg_pred.html)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.9"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}