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Learning Microsoft Cognitive Services

You're reading from   Learning Microsoft Cognitive Services Use Cognitive Services APIs to add AI capabilities to your applications

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789800616
Length 312 pages
Edition 3rd Edition
Languages
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Author (1):
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Leif Larsen Henning Larsen Leif Larsen Henning Larsen
Author Profile Icon Leif Larsen Henning Larsen
Leif Larsen Henning Larsen
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Toc

Table of Contents (14) Chapters Close

Preface 1. Getting Started with Microsoft Cognitive Services 2. Analyzing Images to Recognize a Face FREE CHAPTER 3. Analyzing Videos 4. Letting Applications Understand Commands 5. Speaking with Your Application 6. Understanding Text 7. Building Recommendation Systems for Businesses 8. Querying Structured Data in a Natural Way 9. Adding Specialized Searches 10. Connecting the Pieces A. LUIS Entities B. License Information Index

Building the index


With the attribute schema and data file in place, we can build the compressed binary index. This will hold all our data objects.

Using our example files, we can build the index by running the following command:

kes.exe build_index Academic.schema Academic.data Academic.index

A successful execution should produce the Academic.index file, which we will use when we are hosting the service.

When running the command, the application will continuously output the status, which can look like the following:

    00:00:00 Input Schema: \Programs\KES\Example\Academic.schema
    00:00:00 Input Data: \Programs\KES\Example\Academic.data
    00:00:00 Output Index: \Programs\KES\Example\Academic.index
    00:00:00 Loading synonym file: Keyword.syn
    00:00:00 Loaded 3700 synonyms (9.4 ms)
    00:00:00 Pass 1 started
    00:00:00 Total number of entities: 1000
    00:00:00 Sorting entities
    00:00:00 Pass 1 finished (14.5 ms)
    00:00:00 Pass 2 started
    00:00:00 Pass 2 finished (13.3...
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