kingaa.github.io | Aaron A. King - | Machine Learning library

 by   kingaa HTML Version: Current License: No License

kandi X-RAY | kingaa.github.io Summary

kandi X-RAY | kingaa.github.io Summary

kingaa.github.io is a HTML library typically used in Artificial Intelligence, Machine Learning applications. kingaa.github.io has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Aaron A. King
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            kandi-support Support

              kingaa.github.io has a low active ecosystem.
              It has 6 star(s) with 0 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              kingaa.github.io has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of kingaa.github.io is current.

            kandi-Quality Quality

              kingaa.github.io has 0 bugs and 0 code smells.

            kandi-Security Security

              kingaa.github.io has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              kingaa.github.io code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              kingaa.github.io does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              kingaa.github.io releases are not available. You will need to build from source code and install.
              It has 62137 lines of code, 0 functions and 1316 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            kingaa.github.io Key Features

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            kingaa.github.io Examples and Code Snippets

            No Code Snippets are available at this moment for kingaa.github.io.

            Community Discussions

            QUESTION

            R function loglik() returning -inf?
            Asked 2021-Jan-03 at 22:31

            Simulating an SIR model in R. I have a data set I am trying to plot accurately with the model. I am right now using the particle filter function, then would like to use the corresponding logLik method on the result. When I do this, I get "[1] -Inf" as a result. I can't find in the documentation why this is and how I can avoid it. Are my parameters for the model not accurate enough? Is there something else wrong?

            My function looks like this: SIRsim %>% pfilter(Np=5000) -> pf logLik(pf)

            From an online course lesson entitled Likelihood for POMPS https://kingaa.github.io/sbied/pfilter/ , this is the R script for the lesson. However, the code works here... I'm not sure how to reproduce my specific problem with it and unfortunately cannot share the dataset or code I am using because it is for academic research.

            ...

            ANSWER

            Answered 2021-Jan-03 at 22:31

            If I set Beta=100 in the code above I can get a negative-infinite log-likelihood.

            Replacing the measurement-error snippet with this:

            Source https://stackoverflow.com/questions/65554258

            QUESTION

            pomp package COVID SEIR model least squares errors traceback
            Asked 2020-Dec-07 at 12:23

            I try to model a SEIR for UK to evaluate the implemented containment measures and found some code with the pomp package here: https://kingaa.github.io/clim-dis/parest/parest.html I tried to transfer this to my case which adds one stage (E) and three more variables. In the end i want to do a least squared estimation to find the optimal beta. Data_UK_beta0 consists of the variable date (int from 0 to 165) and new_cases (from John Hopkins University dataset).

            ...

            ANSWER

            Answered 2020-Dec-06 at 18:17

            The sse function you've imported from apricom has nothing (as far as I can see) to do with this problem. (This also doesn't have anything to do with C(++) code compilation, so the [compiler-errors] tag in your question is a little misleading.)

            You haven't given us a way to get your Data_UK_beta0 data set so I can't reproduce this, but I assume that you actually want something like:

            Source https://stackoverflow.com/questions/65163452

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

            Vulnerabilities

            No vulnerabilities reported

            Install kingaa.github.io

            You can download it from GitHub.

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          • CLI

            gh repo clone kingaa/kingaa.github.io

          • sshUrl

            git@github.com:kingaa/kingaa.github.io.git

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