Created
October 6, 2017 14:11
-
-
Save vmarkovtsev/cc50b5c2de17e574f59dfe706a39a290 to your computer and use it in GitHub Desktop.
Source code identifier embeddings - legacy demonstration
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"--2017-10-06 16:00:22-- https://storage.googleapis.com/models.cdn.sourced.tech/legacy/id2vec_500k.pickle\n", | |
"Resolving storage.googleapis.com... 216.58.209.240, 2a00:1450:4007:80f::2010\n", | |
"Connecting to storage.googleapis.com|216.58.209.240|:443... connected.\n", | |
"HTTP request sent, awaiting response... 200 OK\n", | |
"Length: 429378930 (409M) [application/octet-stream]\n", | |
"Saving to: ‘id2vec_500k.pickle’\n", | |
"\n", | |
"id2vec_500k.pickle 100%[===================>] 409.49M 12.2MB/s in 39s \n", | |
"\n", | |
"2017-10-06 16:01:02 (10.5 MB/s) - ‘id2vec_500k.pickle’ saved [429378930/429378930]\n", | |
"\n" | |
] | |
} | |
], | |
"source": [ | |
"!wget https://storage.googleapis.com/models.cdn.sourced.tech/legacy/id2vec_500k.pickle" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"Populating the interactive namespace from numpy and matplotlib\n" | |
] | |
} | |
], | |
"source": [ | |
"%pylab inline\n", | |
"import pickle" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"with open(\"id2vec_500k.pickle\", \"rb\") as fin:\n", | |
" words, _, embeddings = pickle.load(fin)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"embeddings = array(embeddings)\n", | |
"# normalize by L2\n", | |
"embeddings = embeddings * (1 / sqrt((embeddings ** 2).sum(axis=1)))[:, newaxis]" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 9, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"def association(w1, w2, w3, n=10):\n", | |
" vec = embeddings[words.index(w1)] - embeddings[words.index(w2)] + embeddings[words.index(w3)]\n", | |
" vec /= sqrt((vec ** 2).sum())\n", | |
" for i in reversed((embeddings.dot(vec)).argsort()[-n:]):\n", | |
" nw = words[i]\n", | |
" if nw not in (w1, w2, w3):\n", | |
" print(nw)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 10, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"qux\n", | |
"quux\n", | |
"ffoo\n", | |
"wibble\n", | |
"afoo\n", | |
"pvbm\n", | |
"kioku\n", | |
"dfoo\n" | |
] | |
} | |
], | |
"source": [ | |
"association(\"foo\", \"bar\", \"baz\")" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 11, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"def nearest(w, n=10):\n", | |
" for i in reversed((embeddings.dot(embeddings[words.index(w)])).argsort()[-n:]):\n", | |
" nw = words[i]\n", | |
" if nw != w:\n", | |
" print(nw)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 12, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"dutch\n", | |
"italian\n", | |
"danish\n", | |
"german\n", | |
"finnish\n", | |
"russian\n", | |
"swedish\n", | |
"french\n", | |
"nglish\n" | |
] | |
} | |
], | |
"source": [ | |
"nearest(\"english\")" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 3", | |
"language": "python", | |
"name": "python3" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.6.1" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment