Boosting framework for Bob

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for Amir.Mohammadi from gravatar.com Amir.Mohammadi Avatar for anjos from gravatar.com anjos Avatar for biometrics from gravatar.com biometrics Avatar for ivana7c from gravatar.com ivana7c Avatar for khoury from gravatar.com khoury Avatar for laurentes from gravatar.com laurentes Avatar for pkorshunov from gravatar.com pkorshunov Avatar for ptome from gravatar.com ptome Avatar for siebenkopf from gravatar.com siebenkopf Avatar for smarcel from gravatar.com smarcel Avatar for Tiago.Freitas.Pereira from gravatar.com Tiago.Freitas.Pereira Avatar for tiagofrepereira from gravatar.com tiagofrepereira

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Project description

http://img.shields.io/badge/docs-v2.0.17-yellow.svg http://img.shields.io/badge/docs-latest-orange.svg https://gitlab.idiap.ch/bob/bob.learn.boosting/badges/v2.0.17/build.svg https://gitlab.idiap.ch/bob/bob.learn.boosting/badges/v2.0.17/coverage.svg https://img.shields.io/badge/gitlab-project-0000c0.svg http://img.shields.io/pypi/v/bob.learn.boosting.svg

Boosted Learning Algorithms

This package is part of the signal-processing and machine learning toolbox Bob. It implements a generalized boosting framework, which incorporates different boosting approaches.

Installation

Complete Bob’s installation instructions. Then, to install this package, run:

$ conda install bob.learn.boosting

Contact

For questions or reporting issues to this software package, contact our development mailing list.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for Amir.Mohammadi from gravatar.com Amir.Mohammadi Avatar for anjos from gravatar.com anjos Avatar for biometrics from gravatar.com biometrics Avatar for ivana7c from gravatar.com ivana7c Avatar for khoury from gravatar.com khoury Avatar for laurentes from gravatar.com laurentes Avatar for pkorshunov from gravatar.com pkorshunov Avatar for ptome from gravatar.com ptome Avatar for siebenkopf from gravatar.com siebenkopf Avatar for smarcel from gravatar.com smarcel Avatar for Tiago.Freitas.Pereira from gravatar.com Tiago.Freitas.Pereira Avatar for tiagofrepereira from gravatar.com tiagofrepereira

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

2.0.19

2.0.18

This version

2.0.17

2.0.16

2.0.15

2.0.14

2.0.13

2.0.12

2.0.11

2.0.10

2.0.9

2.0.7

2.0.6

2.0.5

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

2.0.0b1 pre-release

2.0.0a0 pre-release

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bob.learn.boosting-2.0.17.zip (9.9 MB view details)

Uploaded Source

File details

Details for the file bob.learn.boosting-2.0.17.zip.

File metadata

  • Download URL: bob.learn.boosting-2.0.17.zip
  • Upload date:
  • Size: 9.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4

File hashes

Hashes for bob.learn.boosting-2.0.17.zip
Algorithm Hash digest
SHA256 70db8a92a4d34339f078290790c695c3687e2c8a1d2a55e45a25334178967b5a
MD5 f9c9e7a4c5ce19f8c9cbed60a603d343
BLAKE2b-256 11426cd458c806daa39fd43cfac381ba3522344fa91ed944a062085fb1f9721a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page