q2-feature-classifier | QIIME 2 plugin supporting taxonomic classification
kandi X-RAY | q2-feature-classifier Summary
kandi X-RAY | q2-feature-classifier Summary
q2-feature-classifier is a Python library. q2-feature-classifier has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
QIIME 2 plugin supporting taxonomic classification
QIIME 2 plugin supporting taxonomic classification
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Quality
Security
License
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Support
q2-feature-classifier has a low active ecosystem.
It has 17 star(s) with 32 fork(s). There are 11 watchers for this library.
It had no major release in the last 12 months.
There are 16 open issues and 67 have been closed. On average issues are closed in 125 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of q2-feature-classifier is 2017.2.0
Quality
q2-feature-classifier has no bugs reported.
Security
q2-feature-classifier has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
q2-feature-classifier is licensed under the BSD-3-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
q2-feature-classifier releases are available to install and integrate.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed q2-feature-classifier and discovered the below as its top functions. This is intended to give you an instant insight into q2-feature-classifier implemented functionality, and help decide if they suit your requirements.
- Return a dict of the class to use for distutils
- Extract version information from the VCS
- Get project root directory
- Build a ConfigParser from a root
- Classify reads using sklearn
- Yield chunks from a sequence of reads
- Predict results from a pipeline
- Autodetect read orientation
- Create a new pipeline
- Fit a pipeline to pipeline
- Create a Pipeline from a spec
- Generate a pipeline signature
- Classify a query using sklearn sklearn
- Add a method to the analysis data
- Run a command
- Generate reads
- Find the closest match in sequence
- Create a versioneer config file
- Install VCS support
- Scans the setup py py
- Run a blastn command
- Extract version information from VCS
- Wrapper for vsearch
- Compute consensus annotation for reference_results
- Construct a pipeline based on sklearn specification
- Predict a single chunk
Get all kandi verified functions for this library.
q2-feature-classifier Key Features
No Key Features are available at this moment for q2-feature-classifier.
q2-feature-classifier Examples and Code Snippets
No Code Snippets are available at this moment for q2-feature-classifier.
Community Discussions
No Community Discussions are available at this moment for q2-feature-classifier.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install q2-feature-classifier
You can download it from GitHub.
You can use q2-feature-classifier 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 q2-feature-classifier 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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