machine_learning_for_the_web | Python | Learning library
kandi X-RAY | machine_learning_for_the_web Summary
kandi X-RAY | machine_learning_for_the_web Summary
machine_learning_for_the_web is a Python library typically used in Tutorial, Learning, Numpy applications. machine_learning_for_the_web has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
NEW Python 3 code version! Python 2.7 still available in the subfolder python2.7 Each folder contains the codes discussed in each chapter of the book The book it's available at
NEW Python 3 code version! Python 2.7 still available in the subfolder python2.7 Each folder contains the codes discussed in each chapter of the book The book it's available at
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machine_learning_for_the_web has a low active ecosystem.
It has 62 star(s) with 66 fork(s). There are 6 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 3 have been closed. On average issues are closed in 326 days. There are 7 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of machine_learning_for_the_web is current.
Quality
machine_learning_for_the_web has no bugs reported.
Security
machine_learning_for_the_web has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
machine_learning_for_the_web does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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machine_learning_for_the_web releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed machine_learning_for_the_web and discovered the below as its top functions. This is intended to give you an instant insight into machine_learning_for_the_web implemented functionality, and help decide if they suit your requirements.
- Displays a list of movies
- Calculate the rating for a given location
- Returns a list of k items that are connected to a given user
- Calculates the predicted rating
- Creates matplotlib matplotlib
- Preprocess TfIDF text
- Calculates the high - scoring words in the movie review
- Get a plot from anom table
- Analyze Bing search results
- Bing search API
- Parse the BING results
- Parse the site
- Check if keywords in keywords are in review
- Parse google search response
- Redirect to the home page
- Preprocess a list of texts
- Authenticate user
- Save the movie data
- Rate a movie
- Remove a string from a list
- Calculate the log likelihood ratio
- Computes the Viterbi sequence
- Bing search
- View pgrank reviews
- Maximum probability for each observation
- Train the model
Get all kandi verified functions for this library.
machine_learning_for_the_web Key Features
No Key Features are available at this moment for machine_learning_for_the_web.
machine_learning_for_the_web Examples and Code Snippets
No Code Snippets are available at this moment for machine_learning_for_the_web.
Community Discussions
Trending Discussions on machine_learning_for_the_web
QUESTION
How to fix this error when starting Django service?--Unhandled exception in thread started by
Asked 2019-Jan-10 at 07:18
I'm using python3.6 and Django2.0, but the code is supposed to be written in Django1.x. An error occurred when I tried to start the service. This is my first time to contact Django and I hope to get help.
It should be an error in the urls.py file
This is urls.py. This file in the book of .it's GitHub is https://github.com/ai2010/machine_learning_for_the_web/tree/master/chapter_7/server_movierecsys
...ANSWER
Answered 2019-Jan-10 at 07:18The error occurred because urllib2 was referenced in the sklearn library and datasets library. I'm just going to change the code in the file Original 24-31 contents: Try:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install machine_learning_for_the_web
You can download it from GitHub.
You can use machine_learning_for_the_web like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use machine_learning_for_the_web like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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