2017 年 6 月 16 日，騰訊新一代高性能計算平臺 Angel 在 Github 上低調(diào)開源。時隔半年，12 月 13 日，騰訊在“2017互聯(lián)網(wǎng)+大數(shù)據(jù)高峰論壇”發(fā)布“騰訊慧聚”品牌，其中就包括機器學(xué)習(xí)基礎(chǔ)平臺TDinsight。與Angel和其他機器學(xué)習(xí)平臺相比，TDinsight有何優(yōu)勢？

TDinsight機器學(xué)習(xí)平臺

“騰訊慧聚”包括五大數(shù)據(jù)平臺，分別是大數(shù)據(jù)一站式平臺Dmaster、大規(guī)模事務(wù)處理平臺Tbase、大數(shù)據(jù)實時接入平臺TDbank、大數(shù)據(jù)實時多維分析平臺Hermes，以及機器學(xué)習(xí)基礎(chǔ)平臺TDinsight。

據(jù)騰訊互聯(lián)網(wǎng)+大數(shù)據(jù)產(chǎn)品中心總經(jīng)理劉煜宏介紹，TDinsight機器學(xué)習(xí)平臺提供一站式的機器學(xué)習(xí)平臺，通過可視化的拖曳布局，組合各種數(shù)據(jù)源、組件、算法、模型和評估模塊，支持各種主流的開源機器學(xué)習(xí)框架，包括Spark、Python、R、XGBoost。覆蓋特征工程、分類、聚類、回歸、關(guān)聯(lián)規(guī)則、時間序列等傳統(tǒng)機器學(xué)習(xí)算法的同時，支持圖算法、深度學(xué)習(xí)等更加豐富的算法庫，讓用戶可以快速接入人工智能，釋放數(shù)據(jù)潛力。

那么，TDinsight機器學(xué)習(xí)平臺相比其他相似產(chǎn)品有何優(yōu)勢？這個平臺是否開源？是否意味著騰訊以后將會開放自己的AI能力呢？

對此，騰訊互聯(lián)網(wǎng)+大數(shù)據(jù)產(chǎn)品中心總經(jīng)理劉煜宏說道：“騰訊有幾個AI部門，包括提到的優(yōu)圖、醫(yī)療覓影，就是很好的AI跟行業(yè)結(jié)合很好的案例，所以騰訊AI能力一直體現(xiàn)在我們產(chǎn)品里，現(xiàn)在也單獨拿出來開放了。TDinsight是機器學(xué)習(xí)基礎(chǔ)平臺，騰訊大數(shù)據(jù)去年發(fā)布的Angel在6月份開源了，Angel是一個面向機器學(xué)習(xí)的分布式高性能計算平臺。那Angel跟TDinsight是什么關(guān)系呢？其實TDinsight你可以認為是一個機器學(xué)習(xí)的調(diào)度平臺，但是又不僅僅是調(diào)度平臺，TDinsight自身包含多種算法以及模型，并且支持多源的輸入以及輸出，TDinsight采用拖拽的方式能夠根據(jù)不同的算法、模型調(diào)度對應(yīng)不同的機器學(xué)習(xí)組件(框架)，例如：Angel、Spark、TensorFlow、Torch等，完成機器學(xué)習(xí)整個流程。”

雖然TDinsight目前已經(jīng)對政企開放，但開源似乎還是一件遙不可期的事情，劉煜宏表示，“我們也是跟各行各業(yè)的定制需求結(jié)合，目前要開源出來還不是很好的時機，現(xiàn)在騰訊公司開源的也越來越多，包括大數(shù)據(jù)是來源于開源。我們還是會回歸到社區(qū)里，包括Tbase，已經(jīng)與社區(qū)結(jié)合得非常緊密，是非常核心的開源，包括資源調(diào)度管理平臺，調(diào)度是在全球計算能力領(lǐng)先的很重要的模塊。所以大數(shù)據(jù)開源會越來越多，但不像安卓整體開源，我們也會結(jié)合社區(qū)化把很多東西反饋到里面。”

Angel機器學(xué)習(xí)平臺

Angel平臺是使用Java和Scala混合開發(fā)的機器學(xué)習(xí)框架，用戶可以像用Spark, MapReduce一樣，用它來完成機器學(xué)習(xí)的模型訓(xùn)練。2017 年 6 月 16 日，騰訊新一代高性能計算平臺 Angel 在 Github 上低調(diào)開源。

Angel采用參數(shù)服務(wù)器架構(gòu)，支持十億級別維度的模型訓(xùn)練。采用了多種業(yè)界最新技術(shù)和騰訊自主研發(fā)技術(shù)，如SSP（Stale synchronous Parallel）、異步分布式SGD、多線程參數(shù)共享模式HogWild、網(wǎng)絡(luò)帶寬流量調(diào)度算法、計算和網(wǎng)絡(luò)請求流水化、參數(shù)更新索引和訓(xùn)練數(shù)據(jù)預(yù)處理方案等。

這些技術(shù)使Angel性能大幅提高，達到常見開源系統(tǒng)Spark的數(shù)倍到數(shù)十倍，能在千萬到十億級的特征維度條件下運行。

自2016年初在騰訊內(nèi)部上線以來，Angel已應(yīng)用于騰訊視頻、騰訊社交廣告及用戶畫像挖掘等精準推薦業(yè)務(wù)。未來還將不斷拓展應(yīng)用場景，目標是支持騰訊等企業(yè)級大規(guī)模機器學(xué)習(xí)任務(wù)。

Angel相關(guān)鏈接：https://s.geekbang.org/search/c=0/k=Angel/t=

感謝徐川對本文的審校。

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