rustlearn | Machine learning crate for Rust | Machine Learning library

by maciejkula Rust Version: v0.5.0 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | rustlearn Summary

rustlearn is a Rust library typically used in Artificial Intelligence, Machine Learning applications. rustlearn has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This crate contains reasonably effective implementations of a number of common machine learning algorithms. At the moment, rustlearn uses its own basic dense and sparse array types, but I will be happy to use something more robust once a clear winner in that space emerges.

Support

Quality

Security

License

Reuse

Support

rustlearn has a low active ecosystem.

It has 567 star(s) with 50 fork(s). There are 24 watchers for this library.

It had no major release in the last 12 months.

There are 10 open issues and 5 have been closed. On average issues are closed in 489 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of rustlearn is v0.5.0

Quality

rustlearn has no bugs reported.

Security

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

License

rustlearn is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

rustlearn releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

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rustlearn Key Features

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rustlearn Examples and Code Snippets

No Code Snippets are available at this moment for rustlearn.

Community Discussions

Trending Discussions on rustlearn

Which build of gcc should I use to correctly build rustlearn crate?

Why does the compiler infer different lifetimes for a trait and its implementation?

QUESTION

Which build of gcc should I use to correctly build rustlearn crate?

Asked 2019-May-09 at 13:10

I'm trying to use rustlearn crate in my project. Added the dependency in Cargo.toml. Since rustlearn requires gcc, I downloaded and installed MinGW64. I tried the following gcc builds:

x86_64-8.1.0-posix-seh-rt_v6-rev0
x86_64-8.1.0-posix-sjlj-rt_v6-rev0
i686-8.1.0-posix-sjlj-rt_v6-rev0

each time setting a PATH environment variable to the appropriate g++.exe and restarting VSCode. But everytime I tried to build my Rust package I got a such error:

...

ANSWER

Answered 2019-May-07 at 21:28

I did not run into these errors when I created a MWE.

To me, this looks like you are trying to use gcc to link a *.o that was compiled with g++.

I was unable to replicate your problem. Here's what I did--which resulted in a successfully built project:

I created a new project with cargo new and added the following to Cargo.toml:

Source https://stackoverflow.com/questions/56012879

QUESTION

Why does the compiler infer different lifetimes for a trait and its implementation?

Asked 2017-Dec-13 at 13:44

I'm currently using rustlearn to evaluate different classification models. The problem I ran into basically boils down to this:

...

ANSWER

Answered 2017-Dec-13 at 13:44

The boxed trait object needs to work with all lifetimes for the reference to Smth:

Source https://stackoverflow.com/questions/47793968

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

Vulnerabilities

No vulnerabilities reported

Install rustlearn

You can download it from GitHub.
Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.

Support

Pull requests are welcome. To run basic tests, run cargo test. Running cargo test --features "all_tests" --release runs all tests, including generated and slow tests. Running cargo bench --features bench (only on the nightly branch) runs benchmarks.

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