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Learning Salesforce Einstein

You're reading from   Learning Salesforce Einstein Add artificial intelligence capabilities to your business solutions with Heroku, PredictiveIO, and Force

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787126893
Length 334 pages
Edition 1st Edition
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Author (1):
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Mohit Shrivatsava Mohit Shrivatsava
Author Profile Icon Mohit Shrivatsava
Mohit Shrivatsava
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Toc

Table of Contents (10) Chapters Close

Preface 1. Introduction to AI FREE CHAPTER 2. Role of AI in CRM and Cloud Applications 3. Building Smarter Apps Using PredictionIO and Heroku 4. Product Recommendation Application using PredicitionIO and Salesforce App Cloud 5. Salesforce Einstein Vision 6. Building Applications Using Einstein Vision and Salesforce Force.com Platform 7. Einstein for Analytics Cloud 8. Einstein and Salesforce IoT Cloud Platform 9. Measuring and Testing the Accuracy of Einstein

PredictionIO commands cheat sheet

summarize the PredictionIO commands we have used in this chapter and the previous one for a quick reference:

Prediction Engine Command Description
pio app new <newapp> This creates a new predictionIO application
pio eventserver & This runs an Event Server if using MYSQL or PostgreSQL
pio-start-all This starts PredictionIO Event Server; HBase; and ElasticSearch, if using HBASE and ElasticSearch
pio app list This lists all of the apps created in its corresponding ID and Access Key
pio build --verbose This builds an engine
pio train This trains the engine
pio deploy This deploys the engine

GitHub references

The following are the GitHub links to download the full...

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