Paquet : python3-mlpy (3.5.0+ds-3)

[ Paquet source : mlpy  ]

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.

Autres paquets associés à python3-mlpy

• dep: python3

  langage orienté objet interactif de haut niveau – version par défaut de Python 3

• dep: python3-mlpy-lib (>= 3.5.0+ds-3)

  low-level implementations and bindings for mlpy

• dep: python3-numpy

  gestion rapide des tableaux pour le langage Python – Python 3

• dep: python3-scipy

  outils scientifiques pour Python 3

• sug: python3-mvpa

  Paquet indisponible

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Architecture	Taille du paquet	Espace occupé une fois installé	Fichiers
all	32,7 ko	199,0 ko	[liste des fichiers]