seqlearn | Sequence learning toolkit for Python

by larsmans Python Version: 0.2 License: MIT

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

kandi X-RAY | seqlearn Summary

seqlearn is a Python library. seqlearn 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 seqlearn' or download it from GitHub, PyPI.

Sequence learning toolkit for Python

Support

Quality

Security

License

Reuse

Support

seqlearn has a low active ecosystem.

It has 658 star(s) with 103 fork(s). There are 41 watchers for this library.

It had no major release in the last 12 months.

There are 21 open issues and 6 have been closed. On average issues are closed in 3 days. There are 10 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of seqlearn is 0.2

Quality

seqlearn has 0 bugs and 0 code smells.

Security

seqlearn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

seqlearn code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

seqlearn is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

seqlearn releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

seqlearn saves you 329 person hours of effort in developing the same functionality from scratch.

It has 790 lines of code, 49 functions and 22 files.

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

Top functions reviewed by kandi - BETA

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

Fit the model
Make a transition matrix
Cast X to a given dtype
Convert X to 2D array
R At least 2d
Return the decoder
Compute the bio - f score between two sequences
Predict class for X
Validate lengths
Compute accuracy
Predict for X
Load training and test data
Load ConLL file
Generator for Conllences
Return a hash of all files in path
List files and directories

Get all kandi verified functions for this library.

seqlearn Key Features

No Key Features are available at this moment for seqlearn.

seqlearn Examples and Code Snippets

No Code Snippets are available at this moment for seqlearn.

Community Discussions

No Community Discussions are available at this moment for seqlearn.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install seqlearn

You can install using 'pip install seqlearn' or download it from GitHub, PyPI.
You can use seqlearn 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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