Version: 1.9.8
Platform: x86_64
First, install or update to the latest system software.
sudo apt-get update
sudo apt-get install build-essential chrpath libssl-dev libxft-dev
| #import <Foundation/Foundation.h> | |
| @interface NSDictionary (QueryStringBuilder) | |
| - (NSString *)queryString; | |
| @end |
| <!doctype html> | |
| <title>Site Maintenance</title> | |
| <style> | |
| body { text-align: center; padding: 150px; } | |
| h1 { font-size: 50px; } | |
| body { font: 20px Helvetica, sans-serif; color: #333; } | |
| article { display: block; text-align: left; width: 650px; margin: 0 auto; } | |
| a { color: #dc8100; text-decoration: none; } | |
| a:hover { color: #333; text-decoration: none; } | |
| </style> |
| SUMMARY | |
| ================================================================================ | |
| This dataset was constructed to support participants in the Netflix Prize. See | |
| http://www.netflixprize.com for details about the prize. | |
| The movie rating files contain over 100 million ratings from 480 thousand | |
| randomly-chosen, anonymous Netflix customers over 17 thousand movie titles. The | |
| data were collected between October, 1998 and December, 2005 and reflect the | |
| distribution of all ratings received during this period. The ratings are on a |
| SUMMARY | |
| ================================================================================ | |
| This dataset was constructed to support participants in the Netflix Prize. See | |
| http://www.netflixprize.com for details about the prize. | |
| The movie rating files contain over 100 million ratings from 480 thousand | |
| randomly-chosen, anonymous Netflix customers over 17 thousand movie titles. The | |
| data were collected between October, 1998 and December, 2005 and reflect the | |
| distribution of all ratings received during this period. The ratings are on a |
| #!/bin/bash | |
| PHANTOM_JS="phantomjs-2.1.1-linux-x86_64" | |
| if [[ $EUID -ne 0 ]]; then | |
| echo "You must be a root user" 2>&1 | |
| exit 1 | |
| else | |
| apt-get update | |
| apt-get install -y build-essential chrpath libssl-dev libxft-dev | |
| apt-get install -y libfreetype6 libfreetype6-dev | |
| apt-get install -y libfontconfig1 libfontconfig1-dev |
| // `promise` is some operation that may succeed (fulfill) or fail (reject) | |
| var newPromise = promise.then( | |
| function () { | |
| return delay(1000); | |
| }, | |
| writeError | |
| ); | |
| // If `promise` fulfills, `newPromise` will fulfill in 1000 ms. | |
| // If `promise` rejects and writing to the error log succeeds, |
| def smart_procrustes_align_gensim(base_embed, other_embed, words=None): | |
| """Procrustes align two gensim word2vec models (to allow for comparison between same word across models). | |
| Code ported from HistWords <https://github.com/williamleif/histwords> by William Hamilton <[email protected]>. | |
| (With help from William. Thank you!) | |
| First, intersect the vocabularies (see `intersection_align_gensim` documentation). | |
| Then do the alignment on the other_embed model. | |
| Replace the other_embed model's syn0 and syn0norm numpy matrices with the aligned version. | |
| Return other_embed. |