r-pmml | Generate PMML for various machine learning | Machine Learning library

by SoftwareAG R Version: v2.5.2 License: GPL-3.0

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

kandi X-RAY | r-pmml Summary

r-pmml is a R library typically used in Artificial Intelligence, Machine Learning applications. r-pmml has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Export various machine learning and statistical models to PMML and generate data transformations in PMML format. For a description of the supported packages, see the vignette: Supported Packages and Additional Functions.

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Support

r-pmml has a low active ecosystem.

It has 19 star(s) with 5 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 5 have been closed. On average issues are closed in 33 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of r-pmml is v2.5.2

Quality

r-pmml has no bugs reported.

Security

r-pmml has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

r-pmml 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

r-pmml releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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r-pmml Key Features

No Key Features are available at this moment for r-pmml.

r-pmml Examples and Code Snippets

No Code Snippets are available at this moment for r-pmml.

Community Discussions

Trending Discussions on r-pmml

How to handle global resources in spring cloud dataflow?

QUESTION

How to handle global resources in spring cloud dataflow?

Asked 2018-Nov-08 at 10:56

I'm learning the concepts of spring cloud dataflow and wondering what is the common way of storing global resources.

For example, when I have a stream with a pmml-processor and I would like to retrain the underlying pmml-model periodically via a spring-cloud-task.

Where would I store the model, so that it can be used as a (read-only)-resource by the processor and updated by the task every night? Is there a concept of a global storage in spring cloud dataflow? Should I just use a traditional database outside of the spring-cloud or is there a better way?

...

ANSWER

Answered 2017-Mar-04 at 20:16

There is no general concept of shared storage within Spring Cloud Data Flow itself, but the Spring Resource used to provide the model for the PMML processor is pretty flexible (see http://docs.spring.io/spring/docs/current/spring-framework-reference/html/resources.html and in particular Table 8.1 for a few path options that can be used for the pmml.model-location parameter). So there are a couple options out of the box:

use a shared filesystem (which could be then accessed via the file:// protocol);
store the model in a location accessible that can be served as a static resource via HTTP;

Additional options (which require including additional jars in the application) are available for S3 (via https://cloud.spring.io/spring-cloud-aws/) and HDFS (via Spring for Apache Hadoop - see http://docs.spring.io/spring-hadoop/docs/current/reference/htmlsingle/#using-hdfs-resource-loader).

Source https://stackoverflow.com/questions/42585825

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

Vulnerabilities

No vulnerabilities reported

Install r-pmml

You can install the released version of pmml from CRAN with:.

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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