CNN_tsc | A CNN for time-series classification | Machine Learning library

by RobRomijnders Python Version: Current License: No License

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

kandi X-RAY | CNN_tsc Summary

CNN_tsc is a Python library typically used in Artificial Intelligence, Machine Learning applications. CNN_tsc has no bugs, it has no vulnerabilities and it has low support. However CNN_tsc build file is not available. You can download it from GitHub.

A CNN for time-series classification. Explanation of the code at robromijnders.github.io/CNN_tsc.

Support

Quality

Security

License

Reuse

Support

CNN_tsc has a low active ecosystem.

It has 144 star(s) with 59 fork(s). There are 19 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 1 have been closed. On average issues are closed in 4 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of CNN_tsc is current.

Quality

CNN_tsc has 0 bugs and 4 code smells.

Security

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

CNN_tsc code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

CNN_tsc 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

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

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

CNN_tsc saves you 82 person hours of effort in developing the same functionality from scratch.

It has 210 lines of code, 7 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 CNN_tsc and discovered the below as its top functions. This is intended to give you an instant insight into CNN_tsc implemented functionality, and help decide if they suit your requirements.

Normalize a given tensor .
Initialize tensorflow .
Prints the trainable variables .
A bias variable .
Max pooling op .
2d convolutional layer .

Get all kandi verified functions for this library.

CNN_tsc Key Features

No Key Features are available at this moment for CNN_tsc.

CNN_tsc Examples and Code Snippets

No Code Snippets are available at this moment for CNN_tsc.

Community Discussions

Trending Discussions on CNN_tsc

How to get new expectations using Tensorflow Times series CNN

QUESTION

How to get new expectations using Tensorflow Times series CNN

Asked 2017-Jul-21 at 23:22

I have downloaded this code from Rob Romijnders work on GitHub, It shows how to train and evaluate times series data.

I tried to get new expectation using the trained models using this the following code:

...

ANSWER

Answered 2017-Jul-21 at 23:22

Error is self explonatory - you did not provide required boolean value. For this code it is bn_train which denotes whether to train batch norm. Add it to your feed dict, just as it is passed in the code you are using.

The second part is that:

Source https://stackoverflow.com/questions/45239488

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

Vulnerabilities

No vulnerabilities reported

Install CNN_tsc

You can download it from GitHub.
You can use CNN_tsc 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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