iepy | Information Extraction in Python

by machinalis Python Version: 0.9.6 License: Non-SPDX

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

kandi X-RAY | iepy Summary

iepy is a Python library. iepy has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However iepy has a Non-SPDX License. You can install using 'pip install iepy' or download it from GitHub, PyPI.

Information Extraction in Python

Support

Quality

Security

License

Reuse

Support

iepy has a medium active ecosystem.

It has 869 star(s) with 191 fork(s). There are 71 watchers for this library.

It had no major release in the last 12 months.

There are 43 open issues and 93 have been closed. On average issues are closed in 50 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of iepy is 0.9.6

Quality

iepy has 0 bugs and 0 code smells.

Security

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

iepy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

iepy has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

It has 15283 lines of code, 654 functions and 162 files.

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

Top functions reviewed by kandi - BETA

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

Render the context of label evidence
Get enriched tokens
Hydrated entity occurrences
Hydrator for the given segment
Run the ner algorithm
Return evidence candidates for a given relation
Returns evidence candidates for a given relation
Returns a list of pair ids for the given kind
Convert a csv file to IEPY
Create a new document
Move the evidence to the given label
Run features from command line
Set up django settings
Construct command line arguments
Configure the settings file
Download Stanford CoreNLP
Merges entities based on sort criteria
Sets the label of the formset
Returns all documents that have preprocessed preprocessed
Build entities from text
Train the prediction
Create the extraction config file
Extract the chunk tag for the given evidence
Return context data
Download third party data
Dump predictions to a csv file

Get all kandi verified functions for this library.

iepy Key Features

No Key Features are available at this moment for iepy.

iepy Examples and Code Snippets

No Code Snippets are available at this moment for iepy.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install iepy

You can install using 'pip install iepy' or download it from GitHub, PyPI.
You can use iepy 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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