mpsim | Markov process simulator
kandi X-RAY | mpsim Summary
kandi X-RAY | mpsim Summary
mpsim is a Python library. mpsim has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
This is a python library for computing trajectories of Markov processes. Given a list of states and transition probabilities, mpsim computes sample sequences of states of either a fixed length or until an absorbing state is reached. The library was created to generate many such trajectories efficiently and has a number of features such as caching of frequently needed intermediate computations, utilization of multiple processing cores, and callbacks for on-the-fly processing of trajectories.
This is a python library for computing trajectories of Markov processes. Given a list of states and transition probabilities, mpsim computes sample sequences of states of either a fixed length or until an absorbing state is reached. The library was created to generate many such trajectories efficiently and has a number of features such as caching of frequently needed intermediate computations, utilization of multiple processing cores, and callbacks for on-the-fly processing of trajectories.
Support
Quality
Security
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Support
mpsim has a low active ecosystem.
It has 4 star(s) with 0 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
mpsim has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of mpsim is current.
Quality
mpsim has no bugs reported.
Security
mpsim has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
mpsim 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.
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mpsim 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 are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed mpsim and discovered the below as its top functions. This is intended to give you an instant insight into mpsim implemented functionality, and help decide if they suit your requirements.
- Generate a random parameter generator
- Generator that yields a constant
- Generate random seed generator
- Generate random seed
- Normalize the weights
- List of vertex vertices
- Add edges to the graph
- Adds an edge to the graph
- Read a file
Get all kandi verified functions for this library.
mpsim Key Features
No Key Features are available at this moment for mpsim.
mpsim Examples and Code Snippets
No Code Snippets are available at this moment for mpsim.
Community Discussions
Trending Discussions on mpsim
QUESTION
Wrong matrix multiplication causes number of elements not being the same
Asked 2017-May-25 at 18:38
I have this matrix
...ANSWER
Answered 2017-May-25 at 18:38The problem is that sum() only works in one dimension - so mpsim * fvsim(lingsim(i), :) produces a 7x7 matrix where it then takes the column sums of, resuling in a 1x7 vector.
To get the sum of all elements, you can use
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install mpsim
You can download it from GitHub.
You can use mpsim 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.
You can use mpsim 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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