Binary package “python-mlpy-doc” in ubuntu noble
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-2build1 in amd64 (Release)
- python-mlpy-doc 3.5.0+ds-3build1 in amd64 (Proposed)
- python-mlpy-doc 3.5.0+ds-3build1 in amd64 (Release)
- python-mlpy-doc 3.5.0+ds-2build1 in arm64 (Release)
- python-mlpy-doc 3.5.0+ds-3build1 in arm64 (Proposed)
- python-mlpy-doc 3.5.0+ds-3build1 in arm64 (Release)
- python-mlpy-doc 3.5.0+ds-2build1 in armhf (Release)
- python-mlpy-doc 3.5.0+ds-3build1 in armhf (Proposed)
- python-mlpy-doc 3.5.0+ds-3build1 in armhf (Release)
- python-mlpy-doc 3.5.0+ds-2build1 in i386 (Release)
- python-mlpy-doc 3.5.0+ds-3build1 in i386 (Proposed)
- python-mlpy-doc 3.5.0+ds-3build1 in i386 (Release)
- python-mlpy-doc 3.5.0+ds-2build1 in ppc64el (Release)
- python-mlpy-doc 3.5.0+ds-3build1 in ppc64el (Proposed)
- python-mlpy-doc 3.5.0+ds-3build1 in ppc64el (Release)
- python-mlpy-doc 3.5.0+ds-2build1 in riscv64 (Release)
- python-mlpy-doc 3.5.0+ds-3build1 in riscv64 (Proposed)
- python-mlpy-doc 3.5.0+ds-3build1 in riscv64 (Release)
- python-mlpy-doc 3.5.0+ds-2build1 in s390x (Release)
- python-mlpy-doc 3.5.0+ds-3build1 in s390x (Proposed)
- python-mlpy-doc 3.5.0+ds-3build1 in s390x (Release)
