fasttext_gridsearch | A python script to gridsearch facebook 's fasttext library

by dorianbrown Python Version: Current License: MIT

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

kandi X-RAY | fasttext_gridsearch Summary

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

A python script to gridsearch facebook's fasttext library

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Quality

Security

License

Reuse

Support

fasttext_gridsearch has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of fasttext_gridsearch is current.

Quality

fasttext_gridsearch has 0 bugs and 0 code smells.

Security

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

fasttext_gridsearch code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

fasttext_gridsearch 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

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

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

Top functions reviewed by kandi - BETA

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

Evaluate fclf .
Print the confusion matrix .
Evaluate a classification model .
Train a fasttext model .
Use fasttext to predict classes .
Write training data to disk .
Write model_args to output_location .
Clean up a text column .
Expand a dictionary into a list of dicts .

Get all kandi verified functions for this library.

fasttext_gridsearch Key Features

No Key Features are available at this moment for fasttext_gridsearch.

fasttext_gridsearch Examples and Code Snippets

No Code Snippets are available at this moment for fasttext_gridsearch.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install fasttext_gridsearch

You can download it from GitHub.
You can use fasttext_gridsearch 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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