LSTMAgreement | Running requires python 2

by shauli-ravfogel Python Version: Current License: No License

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

kandi X-RAY | LSTMAgreement Summary

LSTMAgreement is a Python library. LSTMAgreement has no bugs, it has no vulnerabilities and it has low support. However LSTMAgreement build file is not available. You can download it from GitHub.

Running requires python 2.7, dynet, numpy, pattern (for part 2) as well as sklearn and matplotlib for visualization. agr_50_mostcommon_10K.tsv should be placed in the data directory. part1: python main.py part1. part2: python main.py part2.

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Support

LSTMAgreement has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

LSTMAgreement has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of LSTMAgreement is current.

Quality

LSTMAgreement has 0 bugs and 0 code smells.

Security

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

LSTMAgreement code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

LSTMAgreement 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

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

LSTMAgreement 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.

Top functions reviewed by kandi - BETA

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

Create training examples .
Computes the TSNE projection of the given dictionary .
Train the model .
Creates an example from a sentence .
notifies the classification
Test the model .
Generate examples .
Runs the task .
Plots the subject - verb distance vs the subject verb distance .
Returns the size of the device .

Get all kandi verified functions for this library.

LSTMAgreement Key Features

No Key Features are available at this moment for LSTMAgreement.

LSTMAgreement Examples and Code Snippets

No Code Snippets are available at this moment for LSTMAgreement.

Community Discussions

No Community Discussions are available at this moment for LSTMAgreement.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install LSTMAgreement

You can download it from GitHub.
You can use LSTMAgreement 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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