lambda-r-survival-stats | Enables creating a AWS Lambda package | Cloud Functions library

by station-x Python Version: Current License: Apache-2.0

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

kandi X-RAY | lambda-r-survival-stats Summary

lambda-r-survival-stats is a Python library typically used in Serverless, Cloud Functions applications. lambda-r-survival-stats has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However lambda-r-survival-stats build file is not available. You can download it from GitHub.

Enables creating a AWS Lambda package that bundles R and a Python Lambda function for calculating survival statistics

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Quality

Security

License

Reuse

Support

lambda-r-survival-stats has a low active ecosystem.

It has 25 star(s) with 10 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 1 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of lambda-r-survival-stats is current.

Quality

lambda-r-survival-stats has 0 bugs and 0 code smells.

Security

lambda-r-survival-stats has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

lambda-r-survival-stats code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

lambda-r-survival-stats is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

lambda-r-survival-stats releases are not available. You will need to build from source code and install.

lambda-r-survival-stats has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

lambda-r-survival-stats saves you 26 person hours of effort in developing the same functionality from scratch.

It has 71 lines of code, 3 functions and 2 files.

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

Top functions reviewed by kandi - BETA

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

Calculate survival statistics .
Handler for the Lambda function

Get all kandi verified functions for this library.

lambda-r-survival-stats Key Features

No Key Features are available at this moment for lambda-r-survival-stats.

lambda-r-survival-stats Examples and Code Snippets

No Code Snippets are available at this moment for lambda-r-survival-stats.

Community Discussions

Trending Discussions on lambda-r-survival-stats

analysing data using R, AWS lambda and python

QUESTION

analysing data using R, AWS lambda and python

Asked 2019-May-10 at 00:21

I was trying to replicate this post created by Amazon web services in to using R and AWS lambda link. Its corresponding GitHub link is at link. Whilst running the following commands

...

ANSWER

Answered 2017-Apr-07 at 20:32

I was able to overcome this error by forcing the use of the system version by removing the local version of the file as such:

rm lib/libRrefblas.so

Source https://stackoverflow.com/questions/43256863

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

Vulnerabilities

No vulnerabilities reported

Install lambda-r-survival-stats

You can download it from GitHub.
You can use lambda-r-survival-stats 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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