wordvecspace | high performance pure python module
kandi X-RAY | wordvecspace Summary
kandi X-RAY | wordvecspace Summary
wordvecspace is a Python library. wordvecspace has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install wordvecspace' or download it from GitHub, PyPI.
A high performance pure python module that helps in loading and performing operations on word vector spaces created using Google's Word2vec tool. This module has ability to the load data into memory using WordVecSpaceMem and it can also support performing operations on the data which is on the disk using WordVecSpaceAnnoy and WordVecSpaceDisk.
A high performance pure python module that helps in loading and performing operations on word vector spaces created using Google's Word2vec tool. This module has ability to the load data into memory using WordVecSpaceMem and it can also support performing operations on the data which is on the disk using WordVecSpaceAnnoy and WordVecSpaceDisk.
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Security
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Support
wordvecspace has a low active ecosystem.
It has 7 star(s) with 10 fork(s). There are 11 watchers for this library.
It had no major release in the last 12 months.
There are 0 open issues and 15 have been closed. On average issues are closed in 154 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of wordvecspace is 0.5.6
Quality
wordvecspace has no bugs reported.
Security
wordvecspace has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
wordvecspace is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
wordvecspace releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed wordvecspace and discovered the below as its top functions. This is intended to give you an instant insight into wordvecspace implemented functionality, and help decide if they suit your requirements.
- Compute the distances between row and col_words_or_indices
- Returns the distance between two words
- Check if item is a word or word
- Return the index of a word
- Convert the wvectoWordVecoWordVecoWordVecoWordVecoWordVeco
- Return a WVVecBinWriter instance
- Create a manifest
- Start work
- Get the k nearest neighbors
- Perform Sgemm operation on mat_a
- Compute the distance between two vectors
- Calculate k - nearest sorting for a given d
- Start the WordVecSpace server
- Start the server
- Creates a WSGI application
- Parse extra arguments
- Interactively interactively
- Interact to console
- Read keywords from disk
- Prepare the word index wvspace
- Compute the distance between two words
- Returns the magnitudes of the given words
- Returns the occurrences of words in words_or_indices
- Return the occurrence of a word
- Return the magnitude of a word
Get all kandi verified functions for this library.
wordvecspace Key Features
No Key Features are available at this moment for wordvecspace.
wordvecspace Examples and Code Snippets
No Code Snippets are available at this moment for wordvecspace.
Community Discussions
No Community Discussions are available at this moment for wordvecspace.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install wordvecspace
You can install using 'pip install wordvecspace' or download it from GitHub, PyPI.
You can use wordvecspace 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 wordvecspace 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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