Binary package “vowpal-wabbit-doc” in ubuntu focal
fast and scalable online machine learning algorithm - documentation
Vowpal Wabbit is a fast online machine learning algorithm. The core
algorithm is specialist gradient descent (GD) on a loss function
(several are available). VW features:
- flexible input data specification
- speedy learning
- scalability (bounded memory footprint, suitable for distributed
computation)
- feature pairing
.
This package contains examples (tests) for vowpal-wabbit.
Source package
Published versions
- vowpal-wabbit-doc 8.6.1.dfsg1-1build2 in amd64 (Proposed)
- vowpal-wabbit-doc 8.6.1.dfsg1-1build2 in amd64 (Release)
- vowpal-wabbit-doc 8.6.1.dfsg1-1build2 in arm64 (Proposed)
- vowpal-wabbit-doc 8.6.1.dfsg1-1build2 in arm64 (Release)
- vowpal-wabbit-doc 8.6.1.dfsg1-1build2 in armhf (Proposed)
- vowpal-wabbit-doc 8.6.1.dfsg1-1build2 in armhf (Release)
- vowpal-wabbit-doc 8.6.1.dfsg1-1build2 in i386 (Proposed)
- vowpal-wabbit-doc 8.6.1.dfsg1-1build2 in i386 (Release)
- vowpal-wabbit-doc 8.6.1.dfsg1-1build2 in ppc64el (Proposed)
- vowpal-wabbit-doc 8.6.1.dfsg1-1build2 in ppc64el (Release)
- vowpal-wabbit-doc 8.6.1.dfsg1-1build2 in riscv64 (Release)
- vowpal-wabbit-doc 8.6.1.dfsg1-1build2 in s390x (Proposed)
- vowpal-wabbit-doc 8.6.1.dfsg1-1build2 in s390x (Release)