GPim | Gaussian processes and Bayesian optimization | Machine Learning library

by ziatdinovmax Python Version: v0.3.9 License: MIT

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

kandi X-RAY | GPim Summary

GPim is a Python library typically used in Manufacturing, Utilities, Energy, Utilities, Artificial Intelligence, Machine Learning, Deep Learning applications. GPim has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install GPim' or download it from GitHub, PyPI.

GPim is a python package that provides an easy way to apply Gaussian processes (GP) in Pyro and Gpytorch to images and hyperspectral data and to perform GP-based Bayesian optimization on grid data. The intended audience are domain scientists (for example, microscopists) with a basic knowledge of how to work with numpy arrays in Python. Scientific papers that use GPim:.

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Support

GPim has a low active ecosystem.

It has 21 star(s) with 3 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 8 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of GPim is v0.3.9

Quality

GPim has no bugs reported.

Security

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

License

GPim is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

GPim releases are available to install and integrate.

Deployable package is available in PyPI.

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

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Perform a Bayesian optimization
Train the model
Predict the mean and standard deviation
Plot the inducing points of the hyperparameters
Plot the inducing points in 3d
Plot inducing points
Calculate the indices of the full grid
Generate a sparse grid of data
Compute the full grid of the given extent
Corrupts images in 2D arrays
Corrupt a 3D image
Corrupt a 2D image
Plot the kernel hyperparameters
Plot the mixture hyperparameters
Perform a single step
Predict the predictive mean and variance
Run the model

Get all kandi verified functions for this library.

GPim Key Features

No Key Features are available at this moment for GPim.

GPim Examples and Code Snippets

No Code Snippets are available at this moment for GPim.

Community Discussions

Trending Discussions on GPim

CMake ninja custom target used as pre-build command modifies the files but ninja see the change of the depndecies during next build

QUESTION

CMake ninja custom target used as pre-build command modifies the files but ninja see the change of the depndecies during next build

Asked 2020-Aug-16 at 09:35

I run some command before the actual build

...

ANSWER

Answered 2020-Aug-16 at 09:35

It looks like ninja is checking dependencies before the actual build starts and ignores meanwhile file change

Hey! Yes. Because DEPFILEs from C source files are generated at the same time as they are compiled, cmake has no way to know beforehand which file depends on which. It would have to do two passes - first to get dependencies and then to compile (which would be a nice feature, but actually hard to implement). It happens in one pass during compilation (-MD -MT flags), so cmake has no way of knowing that one file depends on that header. I also advise:

Do not modify files in your source tree. Keep all changes in BINARY_DIR.
Do not modify files. Generate new files. It's easier and generally, less state = less problems.

Try it such:

Source https://stackoverflow.com/questions/63434858

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

Vulnerabilities

No vulnerabilities reported

Install GPim

First install PyTorch. Then install GPim using.

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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