gpmodel | Functions and classes for doing Gaussian process models | Machine Learning library

by yangkky Python Version: Current License: No License

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

kandi X-RAY | gpmodel Summary

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

Gaussian process regression and classification with NumPy and SciPy.

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Quality

Security

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Reuse

Support

gpmodel has a low active ecosystem.

It has 7 star(s) with 5 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of gpmodel is current.

Quality

gpmodel has no bugs reported.

Security

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

License

gpmodel 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

gpmodel 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.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Calculate the log - likelihood for a given hyperparameters
Find the covariance matrix
Expand matrix A
Compute the covariance matrix
Calculate expected entropy
Compute the entropy of X
Calculate the posterior covariance matrix
Compute covariance matrix
Calculate pressure from 5 - D_L
Compute the distance between two points
Plots the fit of the model
Computes the log marginal likelihood of the covariance matrix
Optimizes the expected Entropy
Perform a greedy greedy algorithm
Calculate the logarithm of the model
Make the covariance matrix
Fit the covariance matrix
Fits the covariance matrix
Fit the kernel for the model
Compute the posterior covariance matrix
Compute the entropy of the Gaussian distribution
Set the covariance matrix
Compute the entropy of the posterior distribution
Get the covariance matrix
Load model from file
Compute the model s accuracy

Get all kandi verified functions for this library.

gpmodel Key Features

No Key Features are available at this moment for gpmodel.

gpmodel Examples and Code Snippets

No Code Snippets are available at this moment for gpmodel.

Community Discussions

Trending Discussions on gpmodel

Swift 4.2 - PickerView not showing Content

Unhandled rejection ReferenceError: paginate is not defined

QUESTION

Swift 4.2 - PickerView not showing Content

Asked 2018-Dec-27 at 10:45

this code makes me really mad. I already read thousands of tutorials and stack overflow comments....

Please help me. The Picker just contains a blank grey screen.

Code here:

GenderPickerModel.swift

...

ANSWER

Answered 2018-Dec-27 at 10:45

First, you do not need to do the separate array of gender in pickerview class and you don't need to create the instance of pickerview.

From this, you can see your datasource in your custompickerview

Source https://stackoverflow.com/questions/53943368

QUESTION

Unhandled rejection ReferenceError: paginate is not defined

Asked 2018-Sep-29 at 04:09

I'm trying to use the express-paginate package, but I'm getting this error: Unhandled rejection ReferenceError: paginate is not defined

this is my code:

index.js

...

ANSWER

Answered 2018-Sep-29 at 04:09

You can't call one time, use any where.

In gpmodel.js define it:

Source https://stackoverflow.com/questions/52564861

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

Vulnerabilities

No vulnerabilities reported

Install gpmodel

There are currently three families of models: classification, regression, and regression with lasso for feature selection. There are also many kernels already implemented, including squared exponential, Matern, linear, and polynomial. To build a model, first choose a kernel. For example,. instantiates a cubic kernel.

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: