netmotifs | net motifs - netmotifs

by ericmjonas Python Version: Current License: No License

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

kandi X-RAY | netmotifs Summary

netmotifs is a Python library. netmotifs has no bugs, it has no vulnerabilities and it has low support. However netmotifs build file is not available. You can download it from GitHub.

net motifs

Support

Quality

Security

License

Reuse

Support

netmotifs has a low active ecosystem.

It has 5 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 0 have been closed. On average issues are closed in 1999 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of netmotifs is current.

Quality

netmotifs has no bugs reported.

Security

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

License

netmotifs 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

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

netmotifs has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are available. Examples and code snippets are not available.

Top functions reviewed by kandi - BETA

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

Enumerate the possible possible domains
Enumerate the canonical partition of a matrix
Convert a list of assignments to a canonical form
Generate a dataframe of labeled cells
Sample a random radius
The die roll function
Calculate the neighbors of a given class
Create a grid
Create a grid of nodes
Calculate dm score for a set of counts
Remove a group
Assert that all components are assigned
Write the karyotype file
Test whether two datasets are equal
Calculate the CRC score for the given counts
Default grid expansion
Create a new group
Default grid logistic distance
Default grid normal distance
Default grid - normal distribution
Connects mixed distance between mixed distance
Draws a crp score
Default grid square square distance
Removes an entity from a group
Add an entity to a group
Bump distance between two blocks

Get all kandi verified functions for this library.

netmotifs Key Features

No Key Features are available at this moment for netmotifs.

netmotifs Examples and Code Snippets

No Code Snippets are available at this moment for netmotifs.

Community Discussions

No Community Discussions are available at this moment for netmotifs.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install netmotifs

First make sure your linux machine has boost sudo apt-get install libboost-all-dev. Assume a recent anaconda install, and your root anaconda install is in $ANACONDA_ROOT. note there is a chance you will have to set LD_LIBRARY_PATH to $ANACONDA_ROOT/lib. To validate, try running tests/modelexample.ipynb from an ipython notebook.
clone repo
cd irm
mkdir build
cd build
cmake -DCMAKE_INSTALL_PREFIX=$ANACONDA_ROOT/ ../
make -j 8
make install
Honestly, don't even try, getting brew to install the right gcc and boost and cmake to interoperate with anaconda is enough of a challenge that, unless you're doing local develoment, it's not worth it.

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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