MonteTheano

by jaberg Python Version: Current License: No License

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

kandi X-RAY | MonteTheano Summary

MonteTheano is a Python library. MonteTheano has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

MonteTheano

Support

Quality

Security

License

Reuse

Support

MonteTheano has a low active ecosystem.

It has 35 star(s) with 7 fork(s). There are 7 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 3262 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MonteTheano is current.

Quality

MonteTheano has 0 bugs and 0 code smells.

Security

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

MonteTheano code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

MonteTheano 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

MonteTheano 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.

MonteTheano saves you 1004 person hours of effort in developing the same functionality from scratch.

It has 2283 lines of code, 237 functions and 19 files.

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

Top functions reviewed by kandi - BETA

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

Implementation of hybridMC sampling
Compute the log likelihood of a given assignment
Infer the shape of a tensor
Return all the parents of the given variable_list
Infer the shape of v
Implementation of mh2
Returns a local proposal for a random distribution
Evaluate f with assignment assignment
Generate a sample of the HMC
Computes the log likelihood of the given assignment
Generate a lognormal distribution
Creates a QuantizedLognormal distribution
Calculate the lognormal distribution of the given samples
Compute the likelihood of the given observations
Quantized Lognormal Mixture sampling
Calculate GMM1 samples
Calculate the BGMM1 sample
Generate a LognormalMixture sampling
Computes the lognormal log probability of each sample
Register a distribution function
Compute the energy of a given assignment
Generate a random dirichlet sampling
Generate a categorical samples
Generate a gamma sampler
Generate a random sampling operation
Generate a uniform sampling
Calculate the ML function

Get all kandi verified functions for this library.

MonteTheano Key Features

No Key Features are available at this moment for MonteTheano.

MonteTheano Examples and Code Snippets

No Code Snippets are available at this moment for MonteTheano.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install MonteTheano

You can download it from GitHub.
You can use MonteTheano 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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