FaultMap | information theory based fault detection and diagnosis | Time Series Database library

by SimonStreicher Python Version: v0.1.2 License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | FaultMap Summary

FaultMap is a Python library typically used in Database, Time Series Database applications. FaultMap has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Graph and information theory based fault detection and diagnosis from historian time series data

Support

Quality

Security

License

Reuse

Support

FaultMap has a low active ecosystem.

It has 20 star(s) with 8 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 6 open issues and 17 have been closed. On average issues are closed in 131 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FaultMap is v0.1.2

Quality

FaultMap has 0 bugs and 0 code smells.

Security

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

FaultMap code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

FaultMap 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

FaultMap releases are available to install and integrate.

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

Top functions reviewed by kandi - BETA

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

Calculate weights for a single set of weights .
Set the settings for a given scenario .
This function creates the auxiliary arrays .
Calculate dorank learning curves .
Report weight entropy .
Calculate weights based on the given data .
This function plots the values of the graph .
Calculate plot values vs and box variables .
Plot diffscenvs vs . delays .
Calculate the simple rank based on the given gain matrix .

Get all kandi verified functions for this library.

FaultMap Key Features

No Key Features are available at this moment for FaultMap.

FaultMap Examples and Code Snippets

No Code Snippets are available at this moment for FaultMap.

Community Discussions

Trending Discussions on FaultMap

Can't link against self built LLVM API

QUESTION

Can't link against self built LLVM API

Asked 2021-Jul-23 at 23:50

I need a feature from the latest repos for the LLVM API (version 13) so I've cloned the repo and built them to use instead of the older system installed LLVM files (version 12). For some reason though when passing the necessary flags provided by the instance of llvm-config built from the cloned repo neither GCC or Clang can link any of the LLVM API functions, having every single one come up as an undefined reference during the linking phase. Here's the command I'm running:

...

ANSWER

Answered 2021-Jul-23 at 23:50

Prefaced by the top comments ...

Aha! llvm/clang are written in C++ and not C.

The link is complaining about [amongst other things] not being able to resolve:

Source https://stackoverflow.com/questions/68502293

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

Vulnerabilities

No vulnerabilities reported

Install FaultMap

You can download it from GitHub.
You can use FaultMap 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 .

Find more information at: