Пакет: python3-mlpy (3.5.0+ds-1.3build2)
Ссылки для python3-mlpy
Ресурсы Trisquel:
Исходный код mlpy:
Сопровождающий:
Original Maintainers:
- Debian Science Maintainers (Почтовый архив)
- Yaroslav Halchenko
- Michael Hanke
Внешние ресурсы:
- Сайт [mlpy.fbk.eu]
Подобные пакеты:
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.
Другие пакеты, относящиеся к python3-mlpy
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
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- dep: python3-mlpy-lib (>= 3.5.0+ds-1.3build2)
- low-level implementations and bindings for mlpy
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- dep: python3-numpy
- Fast array facility to the Python 3 language
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- dep: python3-scipy
- scientific tools for Python 3
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- sug: python3-mvpa
- Пакет недоступен
Загрузка python3-mlpy
| Архитектура | Размер пакета | В установленном виде | Файлы |
|---|---|---|---|
| all | 30,7 Кб | 194 Кб | [список файлов] |