{ "metadata": { "name": "", "signature": "sha256:02b0b86af888028b7e7994bb7ec82c6bc8b7c440c534edab55a5df6d0abf4769" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "code", "collapsed": false, "input": [ "%load_ext autoreload\n", "%autoreload 2" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "import word2vec" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "code", "collapsed": false, "input": [ "word2vec.word2vec('/Users/danielfrg/Downloads/text8', '/Users/danielfrg/Downloads/text8.bin', size=100, verbose=True)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Starting training using file /Users/danielfrg/Downloads/text8\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "100K\r", "200K\r", "300K\r", "400K\r", "500K\r", "600K\r", "700K\r", "800K\r", 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"language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "code", "collapsed": false, "input": [ "import word2vec" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "binary = word2vec.load('/Users/danielfrg/Downloads/text8.bin', kind='bin')" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 11 }, { "cell_type": "code", "collapsed": false, "input": [ "text = word2vec.load('/Users/danielfrg/Downloads/text8.txt', kind='txt')" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 15 }, { "cell_type": "code", "collapsed": false, "input": [ "binary.vocab" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 16, "text": [ "array([u'', u'the', u'of', ..., u'bredon', u'skirting', u'santamaria'], \n", " dtype='', u'the', u'of', ..., u'bredon', u'skirting', u'santamaria'], \n", " dtype='