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Machine Learning for the Web

You're reading from   Machine Learning for the Web Gaining insight and intelligence from the internet with Python

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Product type Paperback
Published in Jul 2016
Publisher Packt
ISBN-13 9781785886607
Length 298 pages
Edition 1st Edition
Languages
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Authors (2):
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Andrea Isoni Andrea Isoni
Author Profile Icon Andrea Isoni
Andrea Isoni
Steve Essinger Steve Essinger
Author Profile Icon Steve Essinger
Steve Essinger
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Toc

Table of Contents (10) Chapters Close

Preface 1. Introduction to Practical Machine Learning Using Python FREE CHAPTER 2. Unsupervised Machine Learning 3. Supervised Machine Learning 4. Web Mining Techniques 5. Recommendation Systems 6. Getting Started with Django 7. Movie Recommendation System Web Application 8. Sentiment Analyser Application for Movie Reviews Index

Admin and API


As the last part of the chapter, we describe briefly some possible admin management of the model and the implementation of an API endpoint to retrieve the data processed by the application. In the pages folder, we can set two admin interfaces in the admin.py file to check the data collected by the SearchTerm and Page models:

from django.contrib import admin
from django_markdown.admin import MarkdownField, AdminMarkdownWidget
from pages.models import SearchTerm,Page,Link

class SearchTermAdmin(admin.ModelAdmin):
    formfield_overrides = {MarkdownField: {'widget': AdminMarkdownWidget}}
    list_display = ['id', 'term', 'num_reviews']
    ordering = ['-id']
    
class PageAdmin(admin.ModelAdmin):
    formfield_overrides = {MarkdownField: {'widget': AdminMarkdownWidget}}
    list_display = ['id', 'searchterm', 'url','title','content']
    ordering = ['-id','-new_rank']
    
admin.site.register(SearchTerm,SearchTermAdmin)
admin.site.register(Page,PageAdmin)
admin.site.register...
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