qrnn | Quasi-recurrent Neural Networks for Keras | Machine Learning library

by DingKe Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | qrnn Summary

qrnn is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras, Neural Network applications. qrnn has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However qrnn build file is not available. You can download it from GitHub.

Depricated! The repo is based on Keras 1.2 and not maintained anymore. Check here if you use Keras 2.0. A trail implemention of QRNN-fo with dropout for Keras. Run the demo: python imbd_qrnn.py. Reference: Qausi-recurrent Neural Networks.

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Support

qrnn has a low active ecosystem.

It has 73 star(s) with 15 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 4 have been closed. On average issues are closed in 12 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of qrnn is current.

Quality

qrnn has 0 bugs and 0 code smells.

Security

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

qrnn code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

qrnn 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

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

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

qrnn saves you 91 person hours of effort in developing the same functionality from scratch.

It has 232 lines of code, 12 functions and 2 files.

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

Top functions reviewed by kandi - BETA

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

Call the RNN algorithm
Preprocess input tensor
Dropout layer
Get the constant constants
Builds the model
Resets the state of the layer

Get all kandi verified functions for this library.

qrnn Key Features

No Key Features are available at this moment for qrnn.

qrnn Examples and Code Snippets

No Code Snippets are available at this moment for qrnn.

Community Discussions

Trending Discussions on qrnn

How can I create RLearner_regr_QRNN.R?

How no more install y/n prompts in R for unsupervised experimentation?

QUESTION

How can I create RLearner_regr_QRNN.R?

Asked 2019-Oct-16 at 14:05

Original question

I would like to create a new learner for the quantile regression neural network. It is not in the lists for the learning methods already integrated with "mlr". Its format must be like this "RLearner_regr_QRNN.R"

Added after answer was accepted

I would like to define the "quantile regression neural network" as a new type of learner that has special properties and does not fit into one of the existing schemes. My code is below. Code is working but when I use it as a learner for my data, it gives an error that 'qrnn' is not an exported object from 'namespace:qrnn'. I do in advance thank you so much and look forward to hearing from you soon.

...

ANSWER

Answered 2019-Oct-15 at 11:07

You can find instructions on how to create a custom learner on our website.

Also, you might want to think over creating that learner for the new mlr3 package instead. Instructions are here.

Source https://stackoverflow.com/questions/58390638

QUESTION

How no more install y/n prompts in R for unsupervised experimentation?

Asked 2017-Nov-24 at 00:34

I am testing most of the models caret supports on a bunch of PCs. Unfortunately caret "suggested" packages do not include most of the model packages available to caret. Every time a new version of R comes out I have to sit in front of each PC and wait for each prompt to press the 1 button and Enter. Is there an option I could set to tell R or Rstudio to just install anything asked for? A for every a/s/n prompt too.

...

ANSWER

Answered 2017-Jul-31 at 02:45

This code:

Source https://stackoverflow.com/questions/45399874

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

Vulnerabilities

No vulnerabilities reported

Install qrnn

You can download it from GitHub.
You can use qrnn 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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