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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 interface and API


In order to manage the data of the application, the admin interface and an API point can be set. From the admin panel we can see both the movie's data, and the user registered, writing the following admin.py file:

from django.contrib import admin
from books_recsys_app.models import MovieData,UserProfile
      
class MoviesAdmin(admin.ModelAdmin):
      list_display = ['title', 'description']

admin.site.register(UserProfile)
admin.site.register(MovieData,MoviesAdmin)

After setting the corresponding admin URL on the urls.py file:

url(r'^admin/', include(admin.site.urls))

We should see our admin panel (at http://localhost:8000/admin/) with the two models and the data within the models resembles the fields specified in the admin.py file:

To set the API endpoint to retrieve the data for each registered user, first we need to write out serializers.py specifying which fields of the UserProfile model we want to employ:

from books_recsys_app.models import UserProfile
from rest_framework...
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