errata_analysis_eecs573 | Information Extraction from Hardware Errata

by lajanugen Python Version: Current License: No License

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kandi X-RAY | errata_analysis_eecs573 Summary

errata_analysis_eecs573 is a Python library. errata_analysis_eecs573 has no bugs, it has no vulnerabilities and it has low support. However errata_analysis_eecs573 build file is not available. You can download it from GitHub.

Information Extraction from Hardware Errata. Lajanugen Logeswaran and MeiXing Dong. In this work we consider the problem of predicting the cause of a hardware bug and a workaround to it, given its effect on the overall system. The input to our models is a text description of a processor anomaly. Cause prediction is formulated as a generation problem where a brief description of the underlying cause is generated. Predicting the workaround is formulated as a retrieval problem, where the most relevant workarounds are retrieved given the symptoms of the bug.

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Support

errata_analysis_eecs573 has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

errata_analysis_eecs573 has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of errata_analysis_eecs573 is current.

Quality

errata_analysis_eecs573 has no bugs reported.

Security

errata_analysis_eecs573 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

errata_analysis_eecs573 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

errata_analysis_eecs573 releases are not available. You will need to build from source code and install.

errata_analysis_eecs573 has no build file. You will be need to create the build yourself to build the component from source.

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errata_analysis_eecs573 Key Features

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errata_analysis_eecs573 Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install errata_analysis_eecs573

You can download it from GitHub.
You can use errata_analysis_eecs573 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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