pyKriging | Welcome to the User Friendly Python Kriging Toolbox | Genomics library

by capaulson Python Version: v0.2.0 License: MIT

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

kandi X-RAY | pyKriging Summary

pyKriging is a Python library typically used in Artificial Intelligence, Genomics applications. pyKriging has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Prefered Citation for pyKriging:. Please see for more details.

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Quality

Security

License

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Support

pyKriging has a low active ecosystem.

It has 254 star(s) with 93 fork(s). There are 27 watchers for this library.

It had no major release in the last 12 months.

There are 13 open issues and 21 have been closed. On average issues are closed in 183 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pyKriging is v0.2.0

Quality

pyKriging has 0 bugs and 0 code smells.

Security

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

pyKriging code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyKriging 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

pyKriging releases are available to install and integrate.

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

pyKriging saves you 848 person hours of effort in developing the same functionality from scratch.

It has 1943 lines of code, 114 functions and 18 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Plot the prediction function
Inverse of y
Predict for input data
Normalize X
Plot the prediction
Normalize the data
Predict variance of X
Predict for X
Initiate random population
Add new point
Optimise the LHC sampling algorithm
Generate L - H matrix
Compute the weighted expimp
Evaluate the weighted expimp
Calculates the mean variance of a point
Leave n out of the model
Normalize the data
Add new points to the model
Fits the objective function
Fit objective function
Updates the PIC matrix
Generate a random population of points
Calculates RMSE squared Rsquared matrix
Saves the model
Train the model
Random L - H matrix
Negative log likelihood
Create a snapshot of the model

Get all kandi verified functions for this library.

pyKriging Key Features

No Key Features are available at this moment for pyKriging.

pyKriging Examples and Code Snippets

No Code Snippets are available at this moment for pyKriging.

Community Discussions

Trending Discussions on pyKriging

Get data array from object in Python

QUESTION

Get data array from object in Python

Asked 2017-Mar-14 at 18:28

I'm using a library which produces 3 plots given an object k.

I need to figure the data points (x,y,z) that produced these plot, but the problem is that the plots comes from a function from k.

The library I'm using is pyKriging and this is their github repository.

A simplified version of their example code is:

...

ANSWER

Answered 2017-Mar-14 at 18:28

There is no single data array that produces the plot. Instead many arrays used for plotting are generated inside the kriging plot function.
Changing the filled contours to line contours is of course not a style option. One therefore needs to use the code from the original plotting function.

An option is to subclass kriging and implement a custom plot function (let's call it myplot). In this function, one can use contour instead of contourf. Naturally, it's also possible to change it completely to one's needs.

Source https://stackoverflow.com/questions/42792185

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

Vulnerabilities

No vulnerabilities reported

Install pyKriging

You can download it from GitHub.
You can use pyKriging 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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