From 5abb42e339759dfb1125e9ad568114c08faedeaf Mon Sep 17 00:00:00 2001
From: Ashish Rana <ashishrana160796@gmail.com>
Date: Fri, 20 Apr 2018 16:56:45 +0530
Subject: [PATCH] numpy import added & Minor typo fixes

---
 vocabulary-embedding.ipynb | 93 ++++++++++++--------------------------
 1 file changed, 29 insertions(+), 64 deletions(-)

diff --git a/vocabulary-embedding.ipynb b/vocabulary-embedding.ipynb
index 93b4066..c6b8cac 100644
--- a/vocabulary-embedding.ipynb
+++ b/vocabulary-embedding.ipynb
@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Generate intial word embedding for headlines and description"
+    "Generate initial word embedding for headlines and description"
    ]
   },
   {
@@ -67,7 +67,7 @@
    },
    "outputs": [],
    "source": [
-    "lower = False # dont lower case the text"
+    "lower = False # don't lower case the text"
    ]
   },
   {
@@ -118,9 +118,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -141,9 +139,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -163,9 +159,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -192,9 +186,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -214,9 +206,7 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -279,9 +269,7 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -300,9 +288,7 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stderr",
@@ -382,9 +368,7 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "word2idx, idx2word = get_idx(vocab, vocabcount)"
@@ -428,9 +412,7 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -457,6 +439,8 @@
    },
    "outputs": [],
    "source": [
+    "import numpy as np\n",
+    "\n",
     "glove_index_dict = {}\n",
     "glove_embedding_weights = np.empty((glove_n_symbols, embedding_dim))\n",
     "globale_scale=.1\n",
@@ -474,9 +458,7 @@
   {
    "cell_type": "code",
    "execution_count": 27,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -524,9 +506,7 @@
   {
    "cell_type": "code",
    "execution_count": 30,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -552,7 +532,7 @@
     "for i in range(vocab_size):\n",
     "    w = idx2word[i]\n",
     "    g = glove_index_dict.get(w, glove_index_dict.get(w.lower()))\n",
-    "    if g is None and w.startswith('#'): # glove has no hastags (I think...)\n",
+    "    if g is None and w.startswith('#'): # glove has no hashtags (I think...)\n",
     "        w = w[1:]\n",
     "        g = glove_index_dict.get(w, glove_index_dict.get(w.lower()))\n",
     "    if g is not None:\n",
@@ -618,9 +598,7 @@
   {
    "cell_type": "code",
    "execution_count": 47,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -666,9 +644,7 @@
   {
    "cell_type": "code",
    "execution_count": 48,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -720,9 +696,7 @@
   {
    "cell_type": "code",
    "execution_count": 50,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -743,9 +717,7 @@
   {
    "cell_type": "code",
    "execution_count": 51,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -765,9 +737,7 @@
   {
    "cell_type": "code",
    "execution_count": 52,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -789,7 +759,6 @@
    "cell_type": "code",
    "execution_count": 53,
    "metadata": {
-    "collapsed": false,
     "scrolled": true
    },
    "outputs": [
@@ -811,9 +780,7 @@
   {
    "cell_type": "code",
    "execution_count": 54,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import cPickle as pickle\n",
@@ -824,9 +791,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import cPickle as pickle\n",
@@ -837,23 +802,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.5.2"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }