sigfeat | Feature Extraction from Signals e | Video Utils library
kandi X-RAY | sigfeat Summary
kandi X-RAY | sigfeat Summary
sigfeat is a Python library typically used in Video, Video Utils applications. sigfeat has no bugs, it has no vulnerabilities, it has build file available and it has low support. However sigfeat has a Non-SPDX License. You can download it from GitHub.
This library is developed with focus on audio signals but it's base functionality is generalized to all kinds of (time)-signals.
This library is developed with focus on audio signals but it's base functionality is generalized to all kinds of (time)-signals.
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Quality
Security
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sigfeat has a low active ecosystem.
It has 8 star(s) with 5 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. On average issues are closed in 1315 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of sigfeat is current.
Quality
sigfeat has 0 bugs and 0 code smells.
Security
sigfeat has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
sigfeat code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
sigfeat 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
sigfeat 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.
It has 1597 lines of code, 213 functions and 42 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed sigfeat and discovered the below as its top functions. This is intended to give you an instant insight into sigfeat implemented functionality, and help decide if they suit your requirements.
- Extract features from source
- Remove hidden features from the resultset
- Return a dict of parameters and metadata
- Wrapper for _setitem
- Unroll parameters
- Generate parameter values for each parameter
- Generate Parameter instances
- Validate value
- Calculates the skewness based on the skewness
- Calculate the skewness
- Evaluate kurtosis
- Evaluate the spectrum
- Initialize nfft
- Performs the centroids clustering
- A tuple of the parameters
- Compute the flux of the spectrum
- Returns the version of the distribution
- Return the default value
- Receive a dict object
- Calculate absoluteness
- Calculate soil factor
- Apply rolloff
- Compute the absolute signal
- Processes the data
- Processes wavefl
- Return the centroid of the signal
Get all kandi verified functions for this library.
sigfeat Key Features
No Key Features are available at this moment for sigfeat.
sigfeat Examples and Code Snippets
No Code Snippets are available at this moment for sigfeat.
Community Discussions
Trending Discussions on sigfeat
QUESTION
Aggregating a dataframe by a group of columns passed as arguments
Asked 2018-Jun-08 at 17:11
I have a dataframe which contains feature set for a person at a different times of the day. I want to aggregate it for different durations of time i.e. 1 hr, 2 hr, and so on. I have written this function as follows.
...ANSWER
Answered 2018-Jun-08 at 17:11Maybe this would work like this...
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install sigfeat
You can download it from GitHub.
You can use sigfeat 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.
You can use sigfeat 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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