is_that_a_duplicate_quora_question | all the code for the article https : //www | Machine Learning library

by abhishekkrthakur Python Version: Current License: No License

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kandi X-RAY | is_that_a_duplicate_quora_question Summary

is_that_a_duplicate_quora_question is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. is_that_a_duplicate_quora_question has no bugs, it has no vulnerabilities and it has low support. However is_that_a_duplicate_quora_question build file is not available. You can download it from GitHub.

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Support

is_that_a_duplicate_quora_question has a low active ecosystem.

It has 434 star(s) with 183 fork(s). There are 25 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 7 have been closed. On average issues are closed in 2 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of is_that_a_duplicate_quora_question is current.

Quality

is_that_a_duplicate_quora_question has 0 bugs and 1 code smells.

Security

is_that_a_duplicate_quora_question has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

is_that_a_duplicate_quora_question code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

is_that_a_duplicate_quora_question 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.

Reuse

is_that_a_duplicate_quora_question releases are not available. You will need to build from source code and install.

is_that_a_duplicate_quora_question has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

is_that_a_duplicate_quora_question saves you 90 person hours of effort in developing the same functionality from scratch.

It has 231 lines of code, 3 functions and 2 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed is_that_a_duplicate_quora_question and discovered the below as its top functions. This is intended to give you an instant insight into is_that_a_duplicate_quora_question implemented functionality, and help decide if they suit your requirements.

Convert a string to vector .
Distance between two strings .
Normalize distance between two strings .

Get all kandi verified functions for this library.

is_that_a_duplicate_quora_question Key Features

No Key Features are available at this moment for is_that_a_duplicate_quora_question.

is_that_a_duplicate_quora_question Examples and Code Snippets

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Community Discussions

Trending Discussions on is_that_a_duplicate_quora_question

python error in implementing csv file

QUESTION

python error in implementing csv file

Asked 2018-Apr-20 at 08:41

i am getting this error when i try to run quora duplicates files on my feature python file, the part of code i am running is below

...

ANSWER

Answered 2018-Apr-20 at 08:41

you need to remove the separator argument \ because content in csv already has , as a separator:

Source https://stackoverflow.com/questions/49937226

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install is_that_a_duplicate_quora_question

You can download it from GitHub.
You can use is_that_a_duplicate_quora_question 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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