rbm.py | Pain-free Restricted Boltzmann Machines | Machine Learning library

by ynd Python Version: Current License: Non-SPDX

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

kandi X-RAY | rbm.py Summary

rbm.py is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. rbm.py has no bugs, it has no vulnerabilities, it has build file available and it has low support. However rbm.py has a Non-SPDX License. You can download it from GitHub.

hidden patterns in your data. rbm.py provides all the necessary methods with a pythonic interface, and moreover, all methods call blazing fast C code. The code can also run transparently on GPU thanks to Theano (Here’s an example usage.

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Support

rbm.py has a low active ecosystem.

It has 37 star(s) with 8 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

rbm.py has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of rbm.py is current.

Quality

rbm.py has 0 bugs and 0 code smells.

Security

rbm.py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

rbm.py code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

rbm.py has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

rbm.py 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.

rbm.py saves you 59 person hours of effort in developing the same functionality from scratch.

It has 155 lines of code, 21 functions and 3 files.

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

Top functions reviewed by kandi - BETA

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

Initializer .
Decorator for symbolic functions .
Fit the model .
Calculate the gradient for the model .
Compute the pseudo - likelihood .
Read a file .

Get all kandi verified functions for this library.

rbm.py Key Features

No Key Features are available at this moment for rbm.py.

rbm.py Examples and Code Snippets

No Code Snippets are available at this moment for rbm.py.

Community Discussions

Trending Discussions on rbm.py

How to resolve TypeError: 'numpy.float64' object cannot be interpreted as an integer

QUESTION

How to resolve TypeError: 'numpy.float64' object cannot be interpreted as an integer

Asked 2020-Oct-29 at 07:13

I am training and testing a dataset using deep belief concept. Facing an numpy.float64 error while working with it:

...

ANSWER

Answered 2020-Oct-29 at 07:07

The n_components_RBM (and maybe n_components_nn_) is probably not an integer but a floating point. You can convert it to integer before passing it to BernoulliRBM using something like:

Source https://stackoverflow.com/questions/64585205

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

Vulnerabilities

No vulnerabilities reported

Install rbm.py

You can download it from GitHub.
You can use rbm.py 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.