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numpy import added & Minor typo fixes #33

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numpy import added & Minor typo fixes #33

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93 changes: 29 additions & 64 deletions vocabulary-embedding.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -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"
]
},
{
Expand Down Expand Up @@ -67,7 +67,7 @@
},
"outputs": [],
"source": [
"lower = False # dont lower case the text"
"lower = False # don't lower case the text"
]
},
{
Expand Down Expand Up @@ -118,9 +118,7 @@
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand All @@ -141,9 +139,7 @@
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand All @@ -163,9 +159,7 @@
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand All @@ -192,9 +186,7 @@
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand All @@ -214,9 +206,7 @@
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand Down Expand Up @@ -279,9 +269,7 @@
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"name": "stdout",
Expand All @@ -300,9 +288,7 @@
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"name": "stderr",
Expand Down Expand Up @@ -382,9 +368,7 @@
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"word2idx, idx2word = get_idx(vocab, vocabcount)"
Expand Down Expand Up @@ -428,9 +412,7 @@
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand All @@ -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",
Expand All @@ -474,9 +458,7 @@
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand Down Expand Up @@ -524,9 +506,7 @@
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"name": "stdout",
Expand All @@ -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",
Expand Down Expand Up @@ -618,9 +598,7 @@
{
"cell_type": "code",
"execution_count": 47,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"name": "stdout",
Expand Down Expand Up @@ -666,9 +644,7 @@
{
"cell_type": "code",
"execution_count": 48,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"name": "stdout",
Expand Down Expand Up @@ -720,9 +696,7 @@
{
"cell_type": "code",
"execution_count": 50,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand All @@ -743,9 +717,7 @@
{
"cell_type": "code",
"execution_count": 51,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand All @@ -765,9 +737,7 @@
{
"cell_type": "code",
"execution_count": 52,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand All @@ -789,7 +759,6 @@
"cell_type": "code",
"execution_count": 53,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
Expand All @@ -811,9 +780,7 @@
{
"cell_type": "code",
"execution_count": 54,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"import cPickle as pickle\n",
Expand All @@ -824,9 +791,7 @@
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"import cPickle as pickle\n",
Expand All @@ -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
}