fwumious_wabbit

App Listed Dormant

Fwumious Wabbit, fast on-line machine learning toolkit written in Rust

Checked · Sources

Downloads
0
Dependents
Not applicable
Stars
141
Forks
17
Contributors
13
Commits
1,003
Latest release

About

From the project README ·

Fwumious Wabbit is

  • a very fast machine learning tool
  • built with Rust
  • inspired by and partially compatible with Vowpal Wabbit (much love! read more about compatibility here)
  • currently supports logistic regression and (deep) field-aware factorization machines

Fwumious Wabbit is actively used in Outbrain for offline research, as well as for some production flows. It enables "high bandwidth research" when doing feature engineering, feature selection, hyperparameter tuning, and the like.

Data scientists can train hundreds of models over hundreds of millions of examples in a matter of hours on a single machine.

For our tested scenarios it is almost two orders of magnitude faster than the fastest Tensorflow implementation of Logistic Regression and FFMs that we could come up with. It is an order of magnitude faster than Vowpal Wabbit for some specific use-cases.

Check out our benchmark, here's a teaser:

benchmark results

Why is it faster? (see here for more details)

Read the full README
  • Only implements Logistic Regression and (Deep) Field-aware Factorization Machines
  • Uses hashing trick, lookup table for AdaGrad and a tight encoding format for the "input cache"
  • Features' namespaces have to be declared up-front
  • Prefetching of weights from memory (avoiding pipeline stalls)
  • Written in Rust with heavy use of code specialization (via macros and traits)
  • Special emphasis on efficiency of sparse operations and serving

Weight patching

This repo also contains the patching algorithm that enables very fast weight diff computation see weight_patcher for more details.

License
Not measured
Crate facts
Not measured
  • Runs on, Native code and Python bindings read crates on crates.io. This entry lists no crate.

Compare with similar projects

Order: strongest tier first, then most downloads, then name, with unmeasured values last. A library counts downloads over 30 days. An app counts binary downloads per release. An app with none counts its crate downloads over 30 days. ML Rust runs this catalogue, so its closest project always gets a row.

fwumious_wabbit beside the projects that share a topic with it
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fwumious_wabbit This page App Listed Dormant

Fwumious Wabbit, fast on-line machine learning toolkit written in Rust

0 binary downloads per release Not applicable 141 Not measured Not measured Not measured
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Python bindings

18 downloads over 30 days 0 9 0.1.2 CUDA, WebGPU No native code found Apache-2.0
Why ListedNo archive, New or Featured rule places it, so it is Listed.

What it lacks for Featured

What else the check found

  • The last activity is on 4 Jun 2024, 888 days ago. That reaches the 365 days the rules expect, so the project is dormant. Dormancy rule

Not measured: Unpatched vulnerabilities past the grace window, First release.

Exact rules: Listed, Featured app. The check on applied thresholds version 9.

Every rule outcome, as the check records it
  • expected-interval: app: E = 365 days
  • dormancy: last activity 2024-06-04, 888 days ago, E = 365: dormant
  • featured: not featured: dormant and not stable
  • listed: listed: no archive, new or featured rule applies

Measurements and sources

Each signal row shows the raw value, its source and the fetch date. The Sources list gathers every distinct source on this page. Movement needs more history.

Sources4 sources
Adoption0 binary downloads per release4 not measured
Adoption measurements
SignalValueSourceFetchedCounts
Active dependentsNot measuredYes
New dependents (365 days)Not measuredYes
Peak active dependentsNot measuredYes
Active dependents as a share of the peakNot measuredYes
Binary downloads per release0GitHub releasesYes
MaintenanceLatest human commit: 2 years ago7 not measured
Maintenance measurements
SignalValueSourceFetchedCounts
Latest human commit2024-06-04GitHub repositoryYes
Latest release2024-05-29GitHub releasesYes
First releaseNot measuredYes
Latest versionNot measuredYes
Days the oldest outside issue waits for a reply0GitHub repositoryYes
Maintainer replies over 365 days0GitHub repositoryYes
Repository archivedfalseGitHub repositoryYes
Repository gonefalseGitHub repositoryYes
Release commit or manifest in the repoNot measuredYes
Published docsNot measuredYes
Latest release fails cargo checkNot measuredYes
Build check dateNot measuredYes
Build check toolchainNot measuredYes
SecurityNot measured
Security measurements
SignalValueSourceFetchedCounts
Unpatched vulnerabilities past the grace windowNot measuredYes
RustSec unmaintained advisoryNot measuredYes
Deprecation noticeNot measuredYes
Deprecated requirementNot measuredYes
Distribution0 binary downloads over the last 3 releases10 not measured
Distribution measurements
SignalValueSourceFetchedCounts
ReleasesNot measuredYes
Downloads over 30 daysNot measuredYes
Binary downloads over the last 3 releases0GitHub releasesYes
Homebrew installs on request over 365 daysNot measuredYes
Repology repository familiesNot measuredYes
Docker pull growth over 90 daysNot measuredYes
Docker pulls at the growth baselineNot measuredYes
Every version a prereleaseNot measuredYes
Every version 0.0.xNot measuredYes
Every version yankedNot measuredYes
Crate deleted from crates.ioNot measuredYes
Repository141 stars, 17 forks, 13 contributors, 1,003 commits. Stars alone never qualify a project.1 not measured
Repository measurements
SignalValueSourceFetchedCounts
GitHub stars141GitHub repositoryYes — one part of the repository route
GitHub forks17GitHub repositoryYes — one part of the repository route
Contributors with a GitHub account13GitHub contributorsYes — one part of the repository route
Commits on the default branch1003GitHub repositoryNo
Repository's main crate left out of the entryNot measuredYes
Facts that never count
Facts that never count measurements
SignalValueSourceFetchedCounts
LicenseNot measuredNo
Runs on, from listed crates and their direct dependenciesNot measuredNo
What shows each backendNot measuredNo
Native code, from listed crates and their dependenciesNot measuredNo
Python bindings, from direct dependencies of listed cratesNot measuredNo
Crates that depend on a listed crate directlyNot measuredNo

Corrections and review history

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