Create ML - Categorization and Quantity Estimation

•

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Takuro Hanawa

@STT Meetup#3 WWDC2018 参加報告会

Technology

“Any kid can do it. “ 👧👦
Create ML 🤖
Hanawa Takuro LIFULL Co., Ltd.

$Hanawa Takuro
facebook.com/takuro.hanawa
🏢LIFULL Co.,Ltd.
iOS Engineer
/ WWDC 🤵🌹Bachelor Japan

Categorization and
Quantity Estimation 📝📈
“ ”

Agenda
• Preparing the data set 📊
• Start training 🤖
• Export model 🖨
• Demo 💪

Preparing the data set 📝
• MLDataTable:
• MLDataColumn:  
MLDataValueConvertible  
(Array, Dictionary )
• MLDataValue:  
Int, Double, String, …

Preparing the data set 📝
• 🚢
• pclass: 🎟 
(1: , 2: , 3: )
• sex: 👫
• age: ⌛
• survived: 💀 (0: , 1: )
https://github.com/Geoyi/Cleaning-Titanic-Data

Start training 🤖
• CSV MLDataTable
•
• MLRegressor( )

Start training 🤖
• MLDataTable
MLDataValueConvertible
😡

Start training 🤖
•
• Iteration: ( )
• Elapsed Time:
• Training/Validation-max_error: /
• Training/Validation-rmse: /
🤔

Start training 🤖
• MLRegressor MLRegressorMetrics
Training/Validation
> Training Accuracy: 66.47823164748654

Start training 🤖
• MLRegressor write(to:metadata:)
MLModel
• playgroundSharedDataDirectory Documents
”Shared Playground Data”

Demo 💪
Qiita: Create ML
https://qiita.com/hanawat/items/63176648a52b5e0b985b
Qiita: What’s New in Swift4.2
https://qiita.com/hanawat/items/4605f9e357c8794b58d7

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Create ML - Categorization and Quantity Estimation

1. “Any kid can do it. “ 👧👦 Create ML 🤖 Hanawa Takuro LIFULL Co., Ltd.

2. $Hanawa Takuro facebook.com/takuro.hanawa 🏢LIFULL Co.,Ltd. iOS Engineer / WWDC 🤵🌹Bachelor Japan

4. 😟

6. Categorization and Quantity Estimation 📝📈 “ ”

7. Agenda • Preparing the data set 📊 • Start training 🤖 • Export model 🖨 • Demo 💪

8. Preparing the data set 📝 • MLDataTable: • MLDataColumn:   MLDataValueConvertible   (Array, Dictionary ) • MLDataValue:   Int, Double, String, …

9. Preparing the data set 📝 • CSV JSON

10. Preparing the data set 📝 • 🚢 • pclass: 🎟  (1: , 2: , 3: ) • sex: 👫 • age: ⌛ • survived: 💀 (0: , 1: ) https://github.com/Geoyi/Cleaning-Titanic-Data

11. Preparing the data set 📝

12. Start training 🤖

13. Start training 🤖 • CSV MLDataTable • • MLRegressor( )

14. Start training 🤖 • MLDataTable MLDataValueConvertible 😡

15. Start training 🤖 • • Iteration: ( ) • Elapsed Time: • Training/Validation-max_error: / • Training/Validation-rmse: / 🤔

16. Start training 🤖 • MLRegressor MLRegressorMetrics Training/Validation > Training Accuracy: 66.47823164748654

17. 🤗 /

18. Export model 🖨

19. Start training 🤖 • MLRegressor write(to:metadata:) MLModel • playgroundSharedDataDirectory Documents ”Shared Playground Data”

20. Export model 🖨

21. ❌ ❌❌ 😂

22. Demo 💪 Qiita: Create ML https://qiita.com/hanawat/items/63176648a52b5e0b985b Qiita: What’s New in Swift4.2 https://qiita.com/hanawat/items/4605f9e357c8794b58d7

Create ML - Categorization and Quantity Estimation

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