ldatuning | LDA models parameters | Topic Modeling library

by nikita-moor R Version: 8777807f8d License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | ldatuning Summary

ldatuning is a R library typically used in Artificial Intelligence, Topic Modeling applications. ldatuning has no bugs, it has no vulnerabilities and it has low support. However ldatuning has a Non-SPDX License. You can download it from GitHub.

This package uses some metrics to find optimal number of topics for Latent Dirichlet allocation (LDA) models. For more complete explanation see vignette.

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Support

ldatuning has a low active ecosystem.

It has 51 star(s) with 15 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 15 have been closed. On average issues are closed in 347 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ldatuning is 8777807f8d

Quality

ldatuning has no bugs reported.

Security

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

License

ldatuning has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

ldatuning releases are available to install and integrate.

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ldatuning Key Features

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ldatuning Examples and Code Snippets

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Community Discussions

Trending Discussions on ldatuning

LDAtuning Package

Error while finding topics quantity on Latent Dirichlet Allocation model using ldatuning library

Error in aggregate.data.frame(as.data.frame(x), ...) : arguments must have same length

How to know which linux libraries an R package depends on?

What does 'seed' do in in 'ldatuning' to determine LDA topic frequency (in R)?

QUESTION

LDAtuning Package

Asked 2021-Jun-15 at 11:13

I try to find the optimal number of topics in the LDA algorithm for my database. For this purpose I try to use the package "ldatuning". After the implementation of the LDA algorithm with the "gibbs" method I try to use the function:

Griffiths2004(models, control) The arguments should be: models An object of class "LDA control A named list of the control parameters for estimation or an object of class "LDAcontrol".

I used it like that:

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ANSWER

Answered 2021-Jun-15 at 11:13

The problem probably lies in how you pass the control parameter list to the Griffiths2004 function.

In the Griffiths2004 function, the parameters are addressed as in a list using control$param. However, lda_5@control returns an S4 object where the parameters should be addressed with control@param. (An S4 object is an advanced class in R, but the only important difference for this application is, that we address objects in these lists with @ instead of $)

You can see that lda@control is an S4 object when calling it:

Source https://stackoverflow.com/questions/67983441

QUESTION

Error while finding topics quantity on Latent Dirichlet Allocation model using ldatuning library

Asked 2019-Oct-27 at 11:05

This is the outcome error and I can tell this is because there is at least one document without some term, but I don't get why and how I can solve it.

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ANSWER

Answered 2019-Oct-27 at 11:05

ldatuning expects input dtm matrix in a different format (format from topicmodels package). You need to convert dtm (sparse matrix from Matrix package) to a format which ldatuning can understand

Source https://stackoverflow.com/questions/58545968

QUESTION

Error in aggregate.data.frame(as.data.frame(x), ...) : arguments must have same length

Asked 2019-Mar-07 at 19:03

Hi I'm working with the last example in this tutorial: Topics proportions over time. https://tm4ss.github.io/docs/Tutorial_6_Topic_Models.html

I run it for my data with this code

...

ANSWER

Answered 2019-Mar-07 at 19:03

I am not sure what you want to achieve with the command

Source https://stackoverflow.com/questions/54910980

QUESTION

How to know which linux libraries an R package depends on?

Asked 2019-Feb-02 at 02:02

I'm doing some work in R that depends on the package ldatuning. I got the package set up and a script running on my local windows machine. It looks like it will take awhile to run, so I spun up a Linux VM (Ubuntu 16.06) in the cloud to run the script. I tried to set up the environment in R with install.packages('ldatuning'), but had a lot of errors. After some digging, I realized that some of the R packages that ldatuning depends on also had dependencies on Linux libraries. In fact there were three different packages that depended on a Linux library. I had to search on stack overflow in each case, and always found brief answers like this one or this one. So how did the people that answered those questions know which libraries to install? I understand that often there are R packages that depend directly on Linux libraries, but how could I know the exact Linux libraries I would need ahead of time? For example, for the R library gmp, my guess would be to try sudo apt-get install gmp, but that doesn't work - it is sudo apt-get install libgmp3-dev. How could I find out that the R package gmp depends on libgmp3-dev?

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ANSWER

Answered 2019-Feb-02 at 02:02

Unfortunately there's not yet a great, complete, and uniform way to deal with this. A great project toward that end is https://github.com/r-hub/sysreqsdb, which you should definitely check out, and may help you.

Also, often when you have an error installing a package due to an unmet system dependency, part of the installation output will tell you how to solve the problem; for example, here's part of the output from a failed installation of pdftools:

Source https://stackoverflow.com/questions/54489103

QUESTION

What does 'seed' do in in 'ldatuning' to determine LDA topic frequency (in R)?

Asked 2017-Dec-26 at 22:05

I have been trying out different ways of determining topic frequency in LDA (in R) and have stumbled across the very useful-looking package ldatuning but cannot really figure out the control parameter and particularly the example value for seed.

Here is the example code from the website:

...

ANSWER

Answered 2017-Apr-02 at 00:05

seed: Object of class "integer"; used to set the seed in the external code for VEM estimation and to call set.seed for Gibbs sampling. For Gibbs sampling it can also be set to NA (default) to avoid changing the seed of the random number generator in the model fitting call.

Source https://stackoverflow.com/questions/42679262

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Vulnerabilities

No vulnerabilities reported

Install ldatuning

You can download it 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 .

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