GPLVM | GPLVM algorithm & performance assessment | Machine Learning library

by OleguerCanal Python Version: Current License: No License

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

kandi X-RAY | GPLVM Summary

GPLVM is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Pytorch applications. GPLVM has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Re-Implementation of GPLVM algorithm & performance assessment against Kernel-PCA

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Quality

Security

License

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GPLVM has a low active ecosystem.

It has 6 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

GPLVM has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of GPLVM is current.

Quality

GPLVM has no bugs reported.

Security

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

License

GPLVM 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

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

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

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

Kappa kernel PCA
Compute RBF
Plot digits
Generalized GP regression
Calculates the active set of points
Plot genes
Load digits dataset
Calculate the likelihood of a model
Loads the genotypes dataset

Get all kandi verified functions for this library.

GPLVM Key Features

No Key Features are available at this moment for GPLVM.

GPLVM Examples and Code Snippets

No Code Snippets are available at this moment for GPLVM.

Community Discussions

Trending Discussions on GPLVM

GPflow, bvh: ValueError: mean must be 1 dimensional

QUESTION

GPflow, bvh: ValueError: mean must be 1 dimensional

Asked 2020-Jan-26 at 16:03

I am having a weird "ValueError: mean must be 1 dimensional" when I am trying to build a Hierarchical GL-LVM model. Basically I'm trying to reproduce this paper: Hierarchical Gaussian Process Latent Variable Models using GPflow.

Therefore I implemented my own new model as follow:

...

ANSWER

Answered 2020-Jan-20 at 14:47

I would recommend posting a working MWE code. I have tried to use your code snippets, but it gives me errors.

I don't have issues with multivariate_normal function. If you have localised the issue correctly you can debug TF2.0 more thoroughly and find the place that causes that exception. Here is the code which I'm running:

Source https://stackoverflow.com/questions/59824619

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

Vulnerabilities

No vulnerabilities reported

Install GPLVM

You can download it from GitHub.
You can use GPLVM 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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