nabu | Platform for managing , training and evaluating word | Natural Language Processing library

by nagitsu Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | nabu Summary

nabu is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. nabu has no vulnerabilities and it has low support. However nabu has 30 bugs and it build file is not available. You can download it from GitHub.

Platform for managing, training and evaluate word embeddings over a corpus.

Support

Quality

Security

License

Reuse

Support

nabu has a low active ecosystem.

It has 3 star(s) with 0 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 2 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of nabu is current.

Quality

nabu has 30 bugs (0 blocker, 0 critical, 5 major, 25 minor) and 239 code smells.

Security

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

nabu code analysis shows 0 unresolved vulnerabilities.

There are 83 security hotspots that need review.

License

nabu 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

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

nabu 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.

It has 8484 lines of code, 371 functions and 146 files.

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

Top functions reviewed by kandi - BETA

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

Process the xml dump file
Load the articles from a file
Unescape characters
Define a template
Train the model
Make a GET request
Shuffle the cooccur matrix
Builds the vocabulary count
R Evaluate the similarity of the words
Prepare a document
Parse article content
Load articles from file
Get the content of a story
Evaluate the given embedding
Name of the model
Download all sessions
Normalize a title
Delete all embedding files
Reindex a source index
Parse an article
Get missing ids
Migrate an embedding matrix
Download an embedding
Create a test job
Evaluate the analogy
Parse a thread response from a thread

Get all kandi verified functions for this library.

nabu Key Features

No Key Features are available at this moment for nabu.

nabu Examples and Code Snippets

No Code Snippets are available at this moment for nabu.

Community Discussions

Trending Discussions on nabu

How to get a certain value from a text file

QUESTION

How to get a certain value from a text file

Asked 2020-Dec-21 at 02:19

I want to get a value from an API. However I am unable to tell Python what I want to do.

This is my current code:

...

ANSWER

Answered 2020-Dec-21 at 02:02

You have a list of dict in your first example. So first you need to select which dict you want. For instance, if your query is called 'json_list'

Source https://stackoverflow.com/questions/65386557

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

Vulnerabilities

No vulnerabilities reported

Install nabu

You can download it from GitHub.
You can use nabu 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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