Dask Distributedによる分散機械学習

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1. Dask DistributedʹΑΔ ෼ࢄػցֶश Masaaki Horikoshi @ ARISE analytics

2. ࣗݾ঺հ • OSS׆ಈ: • GitHub: https://github.com/sinhrks

3. Daskͱ͸ • ॊೈͳฒྻɾOut of CoreॲཧϑϨʔϜϫʔΫ • NumPy, pandasޓ׵(αϒηοτ)ͷσʔλߏ଄Λఏڙ • λεΫ͸ಈతͳܭࢉάϥϑͱͯ͠දݱ͞Εɺεέδϡʔ

   ϥʹΑͬͯฒྻ࣮ߦ • DaskΛར༻͢Δύοέʔδ(Ұ෦): Airflow

4. Dask DataFrame • ෳ਺ͷpandas DataFramesʹΑΓߏ੒ • ॎʹ෼ׂ͞ΕͨDataFrame͝ͱʹॲཧΛฒྻԽ QBOEBT
   %BUB'SBNF %BTL
   %BUB'SBNF QBSUJUJPO

   EJWJTJPO EJWJTJPO

5. import pandas as pd df = pd.DataFrame({'X': np.arange(10), 'Y': np.arange(10,

   20), 'Z': np.arange(20, 30)}, index=list('abcdefghij')) df import dask.dataframe as dd ddf = dd.from_pandas(df, 2) ddf 
   ߦ
   
   ྻͷ
   QBOEBT%BUB'SBNF
   Λ࡞੒ Dask DataFrame QBSUJUJPO QBSUJUJPO EJWJTJPO EJWJTJPO EJWJTJPO

6. Blocked Algorithm (߹ܭ) ddf.sum().compute() 4VN 4VN $PODBU 4VN ߹ܭ
   શମ

   ࿈݁ ߹ܭ
   QBSUJUJPO͝ͱ

7. Dask Distributed • εέδϡʔϥͰͷܭࢉ࣮ߦΛෳ਺ϊʔυͰ෼ࢄͰ͖Δ • ௿ϨΠςϯγ: λεΫຖͷΦʔόʔϔου͸1msఔ౓ • WorkerؒͰͷσʔλڞ༗: σʔλసૹ͸WorkerؒͰ௚઀࣮ࢪ

   • ෳࡶͳεέδϡʔϦϯά: ೚ҙͷܭࢉάϥϑΛ࣮ߦՄ • ہॴੑ: WorkerؒͷσʔλసૹΛͳΔ΂͘ߦΘͳ͍ %JTUSJCVUFE
   8PSLFS %JTUSJCVUFE
   8PSLFS %JTUSJCVUFE
   4DIFEVMFS %JTUSJCVUFE
   $MJFOU

8. Scikit-Learnͷฒྻॲཧ • “n_jobs” Ҿ਺Ͱฒྻ࣮ߦ਺Λࢦఆ • ಺෦తʹ͸joblibΛར༻ • Scikit-Learnίϛολத৺ʹ։ൃ • ϊʔυ಺ฒྻ

   (threading, multiprocessing) from sklearn.model_selection import GridSearchCV grid = GridSearchCV(pipe, cv=3, n_jobs=12, param_grid=param_grid)

9. Distributed joblib • ϓϥΨϒϧAPI (0.10.0-) • with ϒϩοΫͰ joblib.Parallel ͷطఆόοΫΤϯυΛมߋՄ

   • ஫ҙ఺ • scikit-learnʹόϯυϧ͞Ε͍ͯΔjoblibΛ࢖͏ (sklearn.externals.joblib) • ෼ࢄͰ͖ͳ͍৔߹΋͋Δ • backendͱͯ͠threading / multiprocessing͕໌ࣔ͞Ε͍ͯΔ΋ͷ import distributed.joblib from sklearn.externals.joblib import parallel_backend with parallel_backend('dask.distributed', scheduler_host=‘scheduler-addr:8786’): grid.fit(digits.data, digits.target)

10. dask-searchcv • Scikit-LearnͷϋΠύʔύϥϝʔλαʔνΛ Dask ޓ׵ʹͨ͠΋ͷ: • GridSearchCVͱRandomizedSearchCVΛαϙʔτ • API͸Scikit-Learnͱڞ௨ •

    Dask Array΍ DataFrameΛೖྗͱͯ͠౉ͤΔ • ಉҰɺಉύϥϝʔλͷֶशثͷ܁Γฦ࣮͠ߦΛආ͚Δ • PipelineॲཧͰ༗༻ ※աڈʹ dklearn ͱͯ͠ެ։͞Ε͍ͯͨύοέʔδͷҰ෦