N-BEATS | repo provides an implementation of the N-BEATS algorithm | Machine Learning library

by ElementAI Python Version: Current License: Non-SPDX

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

kandi X-RAY | N-BEATS Summary

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

This repo provides an implementation of the N-BEATS algorithm introduced in and enables reproducing the experimental results presented in the paper. N-BEATS is a neural-network based model for univariate timeseries forecasting.

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Quality

Security

License

Reuse

Support

N-BEATS has a low active ecosystem.

It has 192 star(s) with 48 fork(s). There are 15 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 2 have been closed. On average issues are closed in 3 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of N-BEATS is current.

Quality

N-BEATS has 0 bugs and 0 code smells.

Security

N-BEATS has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

N-BEATS code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

N-BEATS 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

N-BEATS 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.

N-BEATS saves you 670 person hours of effort in developing the same functionality from scratch.

It has 1553 lines of code, 95 functions and 46 files.

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

Top functions reviewed by kandi - BETA

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

Train a model .
Interpretable regression .
Summarize the scores for each group .
Download url to file_path .
Mark experiment as finished .
Runs the build .
Initialize the model .
Compute the median ensemble for each ensemble .
Calculate the Mase loss .
Calculate forecast for the giventa .

Get all kandi verified functions for this library.

N-BEATS Key Features

No Key Features are available at this moment for N-BEATS.

N-BEATS Examples and Code Snippets

No Code Snippets are available at this moment for N-BEATS.

Community Discussions

Trending Discussions on N-BEATS

Error in React Application trying to bind to view

QUESTION

Error in React Application trying to bind to view

Asked 2019-Dec-19 at 01:29

I am new to React, I am getting data from an API and then trying to display that data, I am getting the error:

...

ANSWER

Answered 2019-Dec-19 at 01:05

.then(data => this.setState({ data, loading: false })) prolly this. for map to work the structure of this.state.data should be array. It seems you're overriding your data state with the data json.

I assume you want to extract articles? data: data.articles on the same line if I'm not mistaken.

Source https://stackoverflow.com/questions/59401987

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

Vulnerabilities

No vulnerabilities reported

Install N-BEATS

You can download it from GitHub.
You can use N-BEATS 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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