sporco | Sparse Optimisation Research Code | Machine Learning library

by bwohlberg Python Version: 0.2.1 License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | sporco Summary

sporco is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. sporco has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However sporco has 5 bugs. You can install using 'pip install sporco' or download it from GitHub, PyPI.

sporco

Support

Quality

Security

License

Reuse

Support

sporco has a low active ecosystem.

It has 190 star(s) with 39 fork(s). There are 16 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 17 have been closed. On average issues are closed in 13 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of sporco is 0.2.1

Quality

sporco has 5 bugs (2 blocker, 0 critical, 3 major, 0 minor) and 1627 code smells.

Security

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

sporco code analysis shows 0 unresolved vulnerabilities.

There are 8 security hotspots that need review.

License

sporco 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

sporco 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.

sporco saves you 12528 person hours of effort in developing the same functionality from scratch.

It has 25239 lines of code, 1968 functions and 201 files.

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

Top functions reviewed by kandi - BETA

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

Plot an image
Attach a zoom callback to a plot
Attach a key press event handler
Solve the problem
Terminate the pool
Distribute a function f to n threads
Perform grid search
Compute the start and end indices for each process
Close matplotlib figure
Solve the MDBI problem
Configure the plotting function
R Solve a covariance matrix
Performs the step of the x step
Load an image
Computes the residual residuals
R Compute the linear equation
Local contrast function
Combine blocks of blocks
Apply lanczos filter
Compute the dot product of two arrays
Plot a contour
Plot line properties
Plot a 3D surface
Solve the optimisation
Solve the model
Solve the optimisation problem

Get all kandi verified functions for this library.

sporco Key Features

No Key Features are available at this moment for sporco.

sporco Examples and Code Snippets

No Code Snippets are available at this moment for sporco.

Community Discussions

Trending Discussions on sporco

issue parsing Twitter JSON in Google App Script

QUESTION

issue parsing Twitter JSON in Google App Script

Asked 2018-Jan-14 at 19:54

I'm using the code described in the GAS documentation to retrieve my Twitter timeline. The lines

...

ANSWER

Answered 2018-Jan-14 at 19:54

You are probably using Logger.log for checking results of code execution.

As noted in documentation:

The method Logger.log expects a string value, but if you pass in an object or array it will do its best to convert that into a string.

So response in this case response=response.getContentText() will give you String with expected behaviour when used in Logger.log, but in case response=JSON.parse(response) will give Object, that will have output in Logger.log in format [key1=val1, key2=val2, ..].

You can get used to it, or you can use convertion of your object to string before logging it:

Logger.log(JSON.stringify(response))

Source https://stackoverflow.com/questions/48253112

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

Vulnerabilities

No vulnerabilities reported

Install sporco

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