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Clovaを支える技術 機械学習配信基盤のご紹介

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【京都開催】MACHINE LEARNING Meetup KANSAI #1 - connpass https://mlm-kansai.connpass.com/event/81815/
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Clovaを支える技術 機械学習配信基盤のご紹介

  1. 1. Clova Keigo Hattori, Clova Center
  2. 2. @keigohtr Keigo Hattori keigohtr Who I am Keigo Hattori Software Engineer 2009 2009~2017 2017 ~ LINE x
  3. 3. • Clova • Agenda
  4. 4. 1. Clova 2. Clova ML ( ) 3. LINE (We are hiring. Welcome ML engineer!)
  5. 5. Clova Clova
  6. 6. Unique Feature • LINE • • • (WAVE )
  7. 7. • Clova • Agenda
  8. 8. Clova
  9. 9. SVM Deep LearningMachine Learning Keras Chainer Caffe scikit-learn gensim logistic regression Random Forest Neural Network Perceptron libsvm liblinear Theano
  10. 10. JupyterLab TensorBoard ChainerUI
  11. 11. • → • → • → • → • →
  12. 12. Clova Drucker ( )
  13. 13. Three features of Drucker • Easy to serve • Easy to management • Easy to integrate
  14. 14. Drucker: Easy to serve Write your algorithm on Drucker template Features • Do not need to write proto (grpc proto) • Input/Output format is determined but flexible • Any algorithms are availble
  15. 15. Drucker: Easy to management Use Drucker web interface Features • Upload the latest model • Switch the models • Evaluate the performance
  16. 16. Drucker: Easy to integrate Integrate in the same manner Features • Do not need to write proto (grpc proto) • Input/Output format is determined but flexible
  17. 17. Drucker on Kubernetes Kubernetes • Rolling update • Alive monitoring Cloud Storage for ML model • Auto replication • Sync files on all servers Cloud DB for model name • Save model filename for each environment (dev/prod)
  18. 18. @keigohtr Keigo Hattori keigohtr Keigo Hattori @line_clova #Clova LINE Clova http://clova-blog.line.me/ja/
  19. 19. THANK YOU

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