BigML API Webinar - March 2014

BigML Inc

API

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Today’s Webinar

• Speaker:

• Poul Petersen, CIO

• Moderator:

• Andrew Shikiar, VP Business Development

• Enter questions into chat box – we’ll answer some via text; others at the end of the session

• For direct follow-up, email us at [email protected]

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BigML Architecturesky

wintermute

apian

https://bigml.com

https://bigml.io API Layer

Frontend Visualization Layer

Backend Computation Layer

Other Services

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API Bindings Overview

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API Introduction / Demo with 1 Predictive Application Demo2

3 Programmatic ML Examples with 4

Agenda

BigMLer - a command line tool for ML5

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https://bigml.io/ / /{id}?{auth}

sourcedatasetmodel

ensembleprediction

batchpredictionevaluation

andromeda

dev

dev/andromeda

• Path elements:

• /andromeda specifies the API version (optional)

• /dev specifies development mode

• if not specified, then latest API in production mode

• {id} is required for PUT and DELETE

• {auth} contains url parameters username and api_key

• api_key can be an alternative key

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https://bigml.io/....{JSON} {JSON}

Operation HTTP Method Semantics

CREATE POSTCreates a new resource. Returns a JSON document including a unique identifier.

RETRIEVE GETRetrieves either a specific resource or a list of resources.

UPDATE PUT Updates a resource. Only certain fields are putable.

DELETE DELETE Deletes a resource

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Predict Color Pref?

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App Architecture

Web Server BrowserLogs

Batch Upload / Model Real-Time

request

predict

custom experience

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Log Data

user_agent colorMozilla/5.0 (Windows NT 6.1; WOW64; rv YellowMozilla/5.0 (X11; Linux i686) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/33.0.1750.146 Safari/537.36 GreenMozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1700.107 Safari/537.36 GreenMozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1700.107 Safari/537.36 YellowMozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/33.0.1750.146 Safari/537.36 RedMozilla/5.0 (Macintosh; Intel Mac OS X 10_9_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1700.107 Safari/537.36 RedMozilla/5.0 (Macintosh; Intel Mac OS X 10_9_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/33.0.1750.117 Safari/537.36 YellowMozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/33.0.1750.117 Safari/537.36 YellowMozilla/5.0 (Macintosh; Intel Mac OS X 10_9_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/33.0.1750.146 Safari/537.36 Red

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New FeaturesMozilla/5.0 (iPhone; CPU iPhone OS 7_0_6 like Mac OS X) AppleWebKit/537.51.1 (KHTML, like Gecko) Version/7.0 Mobile/11B651 Safari/9537.5

Mobile Safari

browser browser version os os version device7 iOS 7.0.6 iPhone

User-agent parser

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New Features

browser version os os version device color

Other Windows 7 Other Yellow

Chrome 33.0.1750 Linux Other Green

Chrome 32.0.1700 Windows 8 Other Green

Chrome 32.0.1700 Windows 7 Other Yellow

Chrome 33.0.1750 Windows XP Other RedChrome 32.0.1700 Mac OS X 10.9.1 Other RedChrome 33.0.1750 Mac OS X 10.9.1 Other YellowChrome 33.0.1750 Windows 7 Other YellowChrome 33.0.1750 Mac OS X 10.9.1 Other Red

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Model

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JS Predictions

. . .

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Predictions

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Gist

http://bl.ocks.org/osroca/9474489

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BigML Bindings!

https://bigml.com/developers...And more:

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Operation HTTP Method Binding Method

CREATE POST api.create_<resource>(from, {opts})

RETRIEVE GETapi.get_<resource>(id, {opts})

api.list_<resource>({opts})

UPDATE PUT api.update_<resource>(id, {opts})

DELETE DELETE api.delete_<resource>(id)

Binding Overview

• Where <resource> is one of: source, dataset, model, ensemble, evaluation, etc

• id is a resource identifier or resource dict

• from is a resource identifier, dict, or string depending on context

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ToyBoost*

orig dataset

dataset +weight model

source +predict

batch predict

dataset +predict

*For Python Bindings Demonstration

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BigMLer

•BigMLer wraps BigML’s API Python bindings

•Issue complete train/evaluation cycle in one command

•Can do cross-validation

•Remote/Local predictions or even PredictServer

•Define field types in a flat file

•Multi-Label classifications

BigMLer makes BigML even easier!