supersmoother | Efficient pure Python implementation of Friedman | Computer Vision library
kandi X-RAY | supersmoother Summary
kandi X-RAY | supersmoother Summary
supersmoother is a Python library typically used in Artificial Intelligence, Computer Vision, Numpy applications. supersmoother has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install supersmoother' or download it from GitHub, PyPI.
This is an efficient implementation of Friedman’s SuperSmoother [1] algorithm in pure Python. It makes use of [numpy] for fast numerical computation.
This is an efficient implementation of Friedman’s SuperSmoother [1] algorithm in pure Python. It makes use of [numpy] for fast numerical computation.
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Quality
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supersmoother has a low active ecosystem.
It has 60 star(s) with 17 fork(s). There are 4 watchers for this library.
It had no major release in the last 12 months.
There are 3 open issues and 4 have been closed. On average issues are closed in 6 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of supersmoother is 0.4
Quality
supersmoother has 0 bugs and 0 code smells.
Security
supersmoother has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
supersmoother code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
supersmoother is licensed under the BSD-2-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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supersmoother releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
It has 902 lines of code, 98 functions and 10 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed supersmoother and discovered the below as its top functions. This is intended to give you an instant insight into supersmoother implemented functionality, and help decide if they suit your requirements.
- Fit a smoother
- Multi - dimensional interpolation
- Fit the model
- Validate inputs
- Read the doctree
- Return the base url of the repository
- Import object by module name
- Run the module
- Find all objects of a module
- Handle from import
- Return HTML page context
- Handle assignment
- Assign a tuple
- Return the version string
- Handle import
- Prints a print statement
- Slice slice
- Parse the documentation
- Process automodsumm files
- Smooth a moving average
- Defines a function definition
- Runs inheritance diagram
- Handle exceptions
- Call function
- Handle tokens
- Handle test cases
Get all kandi verified functions for this library.
supersmoother Key Features
No Key Features are available at this moment for supersmoother.
supersmoother Examples and Code Snippets
No Code Snippets are available at this moment for supersmoother.
Community Discussions
Trending Discussions on supersmoother
QUESTION
Cannot read property 'startLine' of undefined : conversion from Pine Script vs4 to vs5
Asked 2021-Dec-06 at 15:14
I am trying to convert the indicator below from Pine Script vs4 to vs5. The error message is the following: "Conversion failed, reason: line 324: Cannot read property 'startLine' of undefined". It seems that there is something wrong with the plot function.
Does anybody have an idea of how this error could be fixed?
Thank you
...ANSWER
Answered 2021-Dec-06 at 15:14Seems to be related to color=na. Replace it with color=color(na) (Pine has a built-in mass Find and Replace via Ctrl+F) and the script should convert correctly.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install supersmoother
Installation is simple: To install the released version, type.
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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