RMOA | Connect R to MOA for massive online data stream mining | Wrapper library

by jwijffels R Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | RMOA Summary

RMOA is a R library typically used in Utilities, Wrapper applications. RMOA has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Currently RMOA focusses on classification models (as the stream package in R already allows clustering). Classification models which are possible through RMOA are:. Streaming regression models are also included namely. Streaming recommendation engines which are made available are.

Support

Quality

Security

License

Reuse

Support

RMOA has a low active ecosystem.

It has 33 star(s) with 17 fork(s). There are 18 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 7 have been closed. On average issues are closed in 81 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of RMOA is current.

Quality

RMOA has no bugs reported.

Security

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

License

RMOA 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

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

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of RMOA

Get all kandi verified functions for this library.

RMOA Key Features

No Key Features are available at this moment for RMOA.

RMOA Examples and Code Snippets

No Code Snippets are available at this moment for RMOA.

Community Discussions

Trending Discussions on RMOA

Prequential Evaluation in R Causing Error Message

RMOA Hoeffding Tree with Holdout Evaluation

QUESTION

Prequential Evaluation in R Causing Error Message

Asked 2018-May-01 at 09:50

I'm implementing Prequential Evaluation in R using RMOA.

This isn't too important for the question, but basically this evaluates performance of a stream mining classifier by first testing and then training the model for every observation in a stream.

I have it largely completed, except I'm encountering this error message when making predictions:

number of items to replace is not a multiple of replacement length

I'm using the Iris dataset, and strangely it predicts class labels and trains for the first 50 observations as I would expect. For the remaining 100, however, it produces the above error. The dataset is in its default order :

...

ANSWER

Answered 2018-May-01 at 09:50

After some digging I found the bug originally reported on the MOA-users Google group.

The issue was addressed as a bug in commit 39665f9 by the package author as stated in the issue I opened on the GitHub repository.

Installing RMOA via CRAN results in version 1.0 which still contains this bug. To avoid, install version 1.1 which is available from the package GitHub repository or by using the following

Source https://stackoverflow.com/questions/49798767

QUESTION

RMOA Hoeffding Tree with Holdout Evaluation

Asked 2018-Feb-19 at 17:22

I'm using the RMOA package for R to implement a Hoeffding Tree stream classifier with holdout evaluation.

Everything is training correctly, except when I try to evaluate my model from my held-out test stream I'm getting hit with the following error message:

Error in UseMethod("predict") : no applicable method for 'predict' applied to an object of class "c('HoeffdingTree', 'MOA_classifier', 'MOA_model')"

Having checked the answer to this question, the problem may stem from the fact that the predict() method exists in both the stats and RMOA packages. I have tried to use the :: notation in order to specify which package, but I can't seem to point to RMOA predict(). I also tried uninstalling stats altogether but it hasn't helped.

Does anyone know how to point directly to RMOA's predict(), or is my issue caused by something else entirely?

My R code is below. I'm simply streaming the iris data set for just now, and extracting the first 30 stream items to use for holdout evaluation.

...

ANSWER

Answered 2018-Feb-19 at 17:22

the predict method in package RMOA is an internal variable you can call it like this:

Source https://stackoverflow.com/questions/48870181

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

Vulnerabilities

No vulnerabilities reported

Install RMOA

The package is currently available at CRAN. To install the latest development version from github.

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: