exp_smoothing | Introduction to exponential smoothing for time series
kandi X-RAY | exp_smoothing Summary
kandi X-RAY | exp_smoothing Summary
exp_smoothing is a HTML library. exp_smoothing has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
Michael Y., Simon U., Ben Horvath. DATA 624, Spring 2020.
Michael Y., Simon U., Ben Horvath. DATA 624, Spring 2020.
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Support
exp_smoothing has a low active ecosystem.
It has 1 star(s) with 0 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
exp_smoothing has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of exp_smoothing is current.
Quality
exp_smoothing has no bugs reported.
Security
exp_smoothing has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
exp_smoothing is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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exp_smoothing releases are not available. You will need to build from source code and install.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of exp_smoothing
exp_smoothing Key Features
No Key Features are available at this moment for exp_smoothing.
exp_smoothing Examples and Code Snippets
No Code Snippets are available at this moment for exp_smoothing.
Community Discussions
No Community Discussions are available at this moment for exp_smoothing.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install exp_smoothing
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 .
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