Skip to content
Sections
>> Trisquel >> Balíky >> etiona >> python >> python-mlpy
etiona  ]
[ Zdroj: mlpy  ]

Balík: python-mlpy (2.2.0~dfsg1-3build3)

high-performance Python package for predictive modeling

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.

mlpy includes: SVM (Support Vector Machine), KNN (K Nearest Neighbor), FDA, SRDA, PDA, DLDA (Fisher, Spectral Regression, Penalized, Diagonal Linear Discriminant Analysis) for classification and feature weighting, I-RELIEF, DWT and FSSun for feature weighting, RFE (Recursive Feature Elimination) and RFS (Recursive Forward Selection) for feature ranking, DWT, UWT, CWT (Discrete, Undecimated, Continuous Wavelet Transform), KNN imputing, DTW (Dynamic Time Warping), Hierarchical Clustering, k-medoids, Resampling Methods, Metric Functions, Canberra indicators.

Ostatné balíky súvisiace s balíkom python-mlpy

  • závisí
  • odporúča
  • navrhuje
  • dep: python
    interactive high-level object-oriented language (default version)
  • dep: python-mlpy-lib (>= 2.2.0~dfsg1-3build3)
    low-level implementations and bindings for mlpy
  • dep: python-numpy
    Numerical Python adds a fast array facility to the Python language
  • sug: python-mvpa
    Balík nie je dostupný

Stiahnuť python-mlpy

Stiahnuť pre všetky dostupné architektúry
Architektúra Veľkosť balíka Nainštalovaná veľkosť Súbory
all 45.7 kB280 kB [zoznam súborov]