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Amazon ML Λ
ͬͯΈͨ
Kenta Murata
2015.04.21
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ػցֶश
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ػցֶशͰͰ͖Δ͜ͱ
1. ճؼ
2. ྨ
3. ΫϥελϦϯά
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ػցֶशͰͰ͖Δ͜ͱ
1. ճؼ
2. ྨ
3. ΫϥελϦϯά
→ ࣮ͷ༧ଌ
http://commons.wikimedia.org/wiki/File:Linear_regression.svg
http://commons.wikimedia.org/wiki/File:Polyreg_scheffe.svg
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ػցֶशͰͰ͖Δ͜ͱ
1. ճؼ
2. ྨ
3. ΫϥελϦϯά
→ ࣮ͷ༧ଌ
→ ͔̋×͔Λ༧ଌ
http://en.wikipedia.org/wiki/File:SVM_with_soft_margin.pdf
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ػցֶशͰͰ͖Δ͜ͱ
1. ճؼ
2. ྨ
3. ΫϥελϦϯά
→ ࣮ͷ༧ଌ
→ ͔̋×͔Λ༧ଌ
→ ࣗಈάϧʔϓ͚ http://commons.wikimedia.org/wiki/File:KMeans-density-data.svg
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Amazon Machine Learning
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Amazon Machine Learning ͰͰ͖Δ͜ͱ
1. ճؼ
2. ೋྨ
3. ଟྨ
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Amazon Machine Learning ͰͰ͖Δ͜ͱ
1. ճؼ
2. ೋྨ
3. ଟྨ ͬͯΈͨ
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Amazon Machine Learning Ͱ
ଟྨثΛ࡞Δ
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σʔλͷ४උ
↓
σʔλιʔε࡞
↓
Ϟσϧ࡞
↓
(σʔλιʔεͷࣗಈׂ)
↓
Ϟσϧͷֶश
↓
ϞσϧͷධՁ
ଟྨثͷ࡞खॱ
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σʔλͷ४උ
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No content
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70,000ݸͷखॻ͖ࣈ
http://myselph.de/neuralNet.html
28px
28px
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60,000ݸ → ֶश༻
10,000ݸ → ධՁ༻
ֶश༻ͱධՁ༻ʹ༧Ί͚ͯ͞Ε͍ͯΔ
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όΠφϦσʔλͳͷͰ CSV ม͢Δ
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28px
28px
y, x1, x2,ɾɾɾ, x_k,ɾɾɾ, x784
8, 0, 0,ɾɾɾ, 221,ɾɾɾ, 0
256֊ௐάϨΠεέʔϧ
ਖ਼ղϥϕϧ
ϐΫηϧ
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μϯϩʔυ͢Δ
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https://rubygems.org/gems/mnist
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$ gem install mnist
$ mnist2csv train-images-idx3-ubyte.gz train-labels-idx1-ubyte.gz > mnist_train.csv
$ mnist2csv t10k-images-idx3-ubyte.gz t10k-labels-idx1-ubyte.gz > mnist_test.csv
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CSV ϑΝΠϧΛ S3 ʹΞοϓϩʔυ͢Δ
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σʔλιʔεΛ࡞Δ
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Ξοϓϩʔυͨ͠
CSV ϑΝΠϧ
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ྨରͷΧϥϜΛબͯ͠Ͷὑ
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σʔλΛݟͯࣗಈఆ
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༧ଌ݁Ռ͕σʔλιʔεͷͲͷߦʹରԠ͢Δ͔Λ
ࣝผ͢ΔͨΊͷ ID ͕͋Εࢦఆ͢Δ
ࠓճແ͍ͷͰࢦఆ͠ͳ͍
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ϞσϧΛ࡞Δ
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ೖྗσʔλΛબ
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બͿ
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σʔλΛ 7:3 ʹׂͯ͠
7 ͷํΛ܇࿅ʹɺ3 ͷํ
ΛϞσϧͷධՁʹ͏
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͍Ζ͍ΖࣗͰࢦఆ͢Δ
ࠓճͬͪ͜
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No content
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σʔλͷલॲཧํ๏ͳͲ
Λ JSON Ͱࢦఆ͢Δ
ϑΟʔϧυɻ
ࠓճ CSV ʹมͨ͠
͚ͩͰલॲཧ͕ྃͯ͠
ΔͷͰσϑΥϧτͷ··
Ͱ͓̺
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Regularization (ਖ਼ଇԽ) ɺϞσϧͷաֶश (܇࿅σʔ
λʹద߹͗ͯ͢͠͠·͏ࣄ) Λ͙ͨΊʹߦ͏ɻ
L1 (Lasso ճؼ) ɺෆཁͳύϥϝʔλΛͬͯϞσϧΛ
γϯϓϧʹ͍ͨ͠ͱ͖ʹ͏ɻ
L2 (Ridge ճؼ) Β͔ͳϞσϧ͕ཉ͍͠ͱ͖ʹ͏ɻ
(ײ: L1 ͱ L2 ΛࠞͥΒΕΕͬͱྑ͍ͷʹ)
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Ϟσϧͷ࡞ޙʹࣗಈతʹධՁ࣮ࢪ͢Δ͔Ͳ͏͔ɻ
ࠓճผʹධՁΛΔͷͰ No ΛબͿɻ
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ϞσϧΛ࡞Δ
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ֶशδϣϒࣗಈతʹ։࢝͢Δ
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No content
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60,000 ڭࢣσʔλ → 20
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ϞσϧΛධՁ͢Δ
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10,000 ςετσʔλ → 1ʙ2
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ҎԼͷࣜͰܭࢉ͞ΕΔϞσϧͷ༏ल͞ΛଌΔྔ
2 × ద߹ × ࠶ݱ
ద߹ + ࠶ݱ
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ਅͷྨ
1 ͦͷଞ
༧
ଌ
݁
Ռ
1 True Positive False Positive
ͦ
ͷ
ଞ
False Negative True Negative
ద߹ ʹ
࠶ݱ ʹ
True Positive
True Positive + False Positive
True Positive
True Positive + False Negative
TP FP
FN TN
TP FP
FN TN
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1,000 ڭࢣσʔλͰ࡞ͬͨϞσϧͷ߹
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No content
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ڭࢣσʔλ͕ଟ͍΄ͲϞσϧͷੑೳ͕ྑ͘ͳΔ
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ϞσϧΛ͏
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Ϟσϧͷ͍ํ
1. όον༧ଌ
2. ϦΞϧλΠϜ༧ଌ
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Ϟσϧͷ͍ํ
1. όον༧ଌ
2. ϦΞϧλΠϜ༧ଌ
→ ·ͱ·ͬͨσʔλΛ·ͱΊͯ༧ଌ
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Ϟσϧͷ͍ํ
1. όον༧ଌ
2. ϦΞϧλΠϜ༧ଌ
→ ·ͱ·ͬͨσʔλΛ·ͱΊͯ༧ଌ
→ API Λͬͯ1ͭͣͭ༧ଌ
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Amazon Machine Learning ͷྉۚମܥ
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Amazon Machine Learning ͷྉۚମܥ
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1,000 σʔλͰϞσϧΛ࡞ͬͨͱ͖
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70,000 σʔλͰϞσϧΛ࡞ͬͨͱ͖
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S3 price
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Amazon Machine Learning ΛͬͯΈͨײ
1. Α͘Ͱ͖ͯΔ
2. ͬ͘͞ͱϓϩτλΠϓ͍ͨ࣌͠ʹศརͦ͏
3. ֶशࡁΈͷϞσϧΛΤΫεϙʔτͰ͖ͳ͍
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Amazon Machine Learning ΛͬͯΈͨײ
1. Α͘Ͱ͖ͯΔ
2. ͬ͘͞ͱϓϩτλΠϓ͍ͨ࣌͠ʹศརͦ͏
→ ΞϧΰϦζϜΛදʹग़ͣ͞ʹ্ख͘؆ུԽͯ͠Δ
3. ֶशࡁΈͷϞσϧΛΤΫεϙʔτͰ͖ͳ͍
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Amazon Machine Learning ΛͬͯΈͨײ
1. Α͘Ͱ͖ͯΔ
2. ͬ͘͞ͱϓϩτλΠϓ͍ͨ࣌͠ʹศརͦ͏
→ ΞϧΰϦζϜΛදʹग़ͣ͞ʹ্ख͘؆ུԽͯ͠Δ
→ ࣮ӡ༻લʹ༷ʑͳಛϕΫτϧΛ؆୯ʹࢼͤΔ
3. ֶशࡁΈͷϞσϧΛΤΫεϙʔτͰ͖ͳ͍
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Amazon Machine Learning ΛͬͯΈͨײ
1. Α͘Ͱ͖ͯΔ
2. ͬ͘͞ͱϓϩτλΠϓ͍ͨ࣌͠ʹศརͦ͏
→ ΞϧΰϦζϜΛදʹग़ͣ͞ʹ্ख͘؆ུԽͯ͠Δ
→ ࣮ӡ༻લʹ༷ʑͳಛϕΫτϧΛ؆୯ʹࢼͤΔ
3. ֶशࡁΈͷϞσϧΛΤΫεϙʔτͰ͖ͳ͍
→ ࣮ӡ༻࣌ࣗͰ࣮ͨ͠ϞσϧΛ͏
ɹ ϓϩτλΠϓͰ্ख͘ߦ͖ͦ͏ͳ͜ͱ͕
ɹ ͔ͬͯΔͷͰ࣮ίετؾʹͳΒͳ͍!?