momi | MOran Models for Inference | Machine Learning library

by popgenmethods Python Version: 1.2.7 License: GPL-3.0

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

kandi X-RAY | momi Summary

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

MOran Models for Inference

Support

Quality

Security

License

Reuse

Support

momi has a low active ecosystem.

It has 7 star(s) with 6 fork(s). There are 4 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 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of momi is 1.2.7

Quality

momi has no bugs reported.

Security

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

License

momi is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

momi releases are available to install and integrate.

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

Top functions reviewed by kandi - BETA

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

Create a new Tree from a newick
Extract Momi fields from a comment
Convert a newick string to a nx file
Set the model
Compute the etj coefficient
Compute transformed expi series
Expm1d
Transforms the expi of the expi
Calculate the frequency of the given index
Calculate eigenvalue for diploid
Calculate ECD
Calculate the index of the eigenvector i
Compute transition tensor
Calculates the probability probability probability of the ancestral distribution
Compute the log binom
Compute the SFS of the model
Calculate the weight for a given basis
Calculate the before taua
Compute the PSF for a given state
Compute the site frequency spectrum
Compute the sfs for a set of configurations
Return a sum product product
The transition matrix
Evaluate etj
Return the frequency of n_derived samples
Calculate the sum of diploid

Get all kandi verified functions for this library.

momi Key Features

No Key Features are available at this moment for momi.

momi Examples and Code Snippets

No Code Snippets are available at this moment for momi.

Community Discussions

Trending Discussions on momi

How to limit the scope of a Vue.js component's style?

QUESTION

How to limit the scope of a Vue.js component's style?

Asked 2017-Jul-25 at 14:36

I am experimenting with single file .vue components and my first successful build surprised me with the scope of the component style. Generally speaking, I was under the impression that single file components would be self-contained, including the scope of their components.

The component .vue file is

...

ANSWER

Answered 2017-Jul-25 at 14:36

The scope of the styling will not be limited to the scope of the component, unless you explicitly mark the style with the scoped attribute:

Source https://stackoverflow.com/questions/45306298

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

Vulnerabilities

No vulnerabilities reported

Install momi

You can download it from GitHub.
You can use momi 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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