{"action":"published","release":{"url":"https://api.github.com/repos/axa-group/nlp.js/releases/16830139","assets_url":"https://api.github.com/repos/axa-group/nlp.js/releases/16830139/assets","upload_url":"https://uploads.github.com/repos/axa-group/nlp.js/releases/16830139/assets{?name,label}","html_url":"https://github.com/axa-group/nlp.js/releases/tag/3.0.1","id":16830139,"node_id":"MDc6UmVsZWFzZTE2ODMwMTM5","tag_name":"3.0.1","target_commitish":"master","name":"3.0.1","draft":false,"author":{"login":"jesus-seijas-sp","id":15154218,"node_id":"MDQ6VXNlcjE1MTU0MjE4","avatar_url":"https://avatars3.githubusercontent.com/u/15154218?v=4","gravatar_id":"","url":"https://api.github.com/users/jesus-seijas-sp","html_url":"https://github.com/jesus-seijas-sp","followers_url":"https://api.github.com/users/jesus-seijas-sp/followers","following_url":"https://api.github.com/users/jesus-seijas-sp/following{/other_user}","gists_url":"https://api.github.com/users/jesus-seijas-sp/gists{/gist_id}","starred_url":"https://api.github.com/users/jesus-seijas-sp/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jesus-seijas-sp/subscriptions","organizations_url":"https://api.github.com/users/jesus-seijas-sp/orgs","repos_url":"https://api.github.com/users/jesus-seijas-sp/repos","events_url":"https://api.github.com/users/jesus-seijas-sp/events{/privacy}","received_events_url":"https://api.github.com/users/jesus-seijas-sp/received_events","type":"User","site_admin":false},"prerelease":false,"created_at":"2019-04-17T17:20:50Z","published_at":"2019-04-17T17:22:24Z","assets":[],"tarball_url":"https://api.github.com/repos/axa-group/nlp.js/tarball/3.0.1","zipball_url":"https://api.github.com/repos/axa-group/nlp.js/zipball/3.0.1","body":"The version 3 comes with some important changes, mainly focused on improve performance:\r\n- NlpClassifier no longer exists, in favor of NluManager as the manager of several NLU classes, and is able to manage several languages and several domains inside each language.\r\n- Now by default, each domain of a language has it's own neural network classifier. When a language has more than 1 domain, a master neural network is trained that instead of classifying into the intent, classify into de domain. That way the models are faster to train and have a better score.\r\n- The language guesser is now trained with the trigrams from the utterances used to train. That means that has a best guessing, and also that non-existing languages are guessed (example, klingon).\r\n- Added Tagalog and Galician languages.\r\n- The console-bot example training time in version 2.x in my laptop was 108 seconds, in the version 3.x the training time went down to 3 seconds, so the improvement in performance is notable.\r\n- Also the size of the model.nlp files is decreased, the console-bot example went from 1614KB down to 928KB.\r\n- The browser version has decreased from 5.08MB down to 2.3MB\r\n"}}
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