Binary package “python-mlpy-doc” in ubuntu jammy
documentation and examples for mlpy
mlpy provides high level procedures that support, with few lines of
code, the design of rich Data Analysis Protocols (DAPs) for
preprocessing, clustering, predictive classification and feature
selection. Methods are available for feature weighting and ranking,
data resampling, error evaluation and experiment landscaping.
.
This package provides user documentation for mlpy in various formats
(HTML, PDF).
Source package
Published versions
- python-mlpy-doc 3.5.0+ds-1.3build2 in amd64 (Proposed)
- python-mlpy-doc 3.5.0+ds-1.3build2 in amd64 (Release)
- python-mlpy-doc 3.5.0+ds-1.3build2 in arm64 (Proposed)
- python-mlpy-doc 3.5.0+ds-1.3build2 in arm64 (Release)
- python-mlpy-doc 3.5.0+ds-1.3build2 in armhf (Proposed)
- python-mlpy-doc 3.5.0+ds-1.3build2 in armhf (Release)
- python-mlpy-doc 3.5.0+ds-1.3build2 in i386 (Proposed)
- python-mlpy-doc 3.5.0+ds-1.3build2 in i386 (Release)
- python-mlpy-doc 3.5.0+ds-1.3build2 in ppc64el (Proposed)
- python-mlpy-doc 3.5.0+ds-1.3build2 in ppc64el (Release)
- python-mlpy-doc 3.5.0+ds-1.3build2 in riscv64 (Proposed)
- python-mlpy-doc 3.5.0+ds-1.3build2 in riscv64 (Release)
- python-mlpy-doc 3.5.0+ds-1.3build2 in s390x (Proposed)
- python-mlpy-doc 3.5.0+ds-1.3build2 in s390x (Release)