GazeCrfAnalysis | Supervised Learning Analysis

by anurag1paul Python Version: Current License: GPL-3.0

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kandi X-RAY | GazeCrfAnalysis Summary

GazeCrfAnalysis is a Python library. GazeCrfAnalysis has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

data_processing.py: converts raw_data into formatted dicts and then splits the data into multiple sets of train and test based on 5-fold cross validation. crfsuite_data.py: helper functions for formatting data for for Python-crfsuite. model.py: trains and create model files for each train-test split. test.py: evaluates the model. hitscan_testing.py: to compare with the baseline. reporting.py: helper functions for statistics.

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GazeCrfAnalysis 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.

GazeCrfAnalysis has no issues reported. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of GazeCrfAnalysis is current.

Quality

GazeCrfAnalysis has no bugs reported.

Security

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

License

GazeCrfAnalysis is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

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

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GazeCrfAnalysis Key Features

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GazeCrfAnalysis Examples and Code Snippets

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Vulnerabilities

No vulnerabilities reported

Install GazeCrfAnalysis

You can download it from GitHub.
You can use GazeCrfAnalysis 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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