fungen | Replace boilerplate code with functional patterns | Functional Programming library

by kulshekhar Go Version: Current License: MIT

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

kandi X-RAY | fungen Summary

fungen is a Go library typically used in Programming Style, Functional Programming applications. fungen has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

fungen is a tool that can be used with go generate to automate the creation of list like types and methods like Map, Filter, Reduce, etc on these types.

Support

Quality

Security

License

Reuse

Support

fungen has a low active ecosystem.

It has 122 star(s) with 7 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 11 have been closed. On average issues are closed in 11 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of fungen is current.

Quality

fungen has no bugs reported.

Security

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

License

fungen is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

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

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of fungen

Get all kandi verified functions for this library.

fungen Key Features

No Key Features are available at this moment for fungen.

fungen Examples and Code Snippets

No Code Snippets are available at this moment for fungen.

Community Discussions

Trending Discussions on fungen

Creating numpy functions and converting to tensor

QUESTION

Creating numpy functions and converting to tensor

Asked 2018-Feb-11 at 19:54

I am trying to create function using numpy something like f=(x-a1)^2+(y-a2)^2+a3

Where a1,a2,a3 are random generated numbers and x,y are parameters.

But I cant work with it, I want to find f(0,0) where [0,0] is [x,y] and [a1,a2,a3] were set before,but my code doesnt work. And then I want to convert this function to tensorflow tensor.Here is my code, string with "##" dont work.

...

ANSWER

Answered 2018-Feb-11 at 19:12

To create a TensorFlow function from a numpy function, you should use tf.py_func:

Wraps a python function and uses it as a TensorFlow op.

From the TensorFlow API:

Source https://stackoverflow.com/questions/48735135

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

Vulnerabilities

No vulnerabilities reported

Install fungen

You can download it from GitHub.

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 .

Find more information at: