Fda-landscape Installation On A Debian, Ubuntu And Raspbian
fda-landscape
high-performance Python package for predictive modeling
Install fda-landscape
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Debian
apt-get install python-mlpyClick to copy -
Ubuntu
apt-get install python-mlpyClick to copy -
Raspbian
apt-get install python-mlpyClick to copy
python-mlpy
high-performance Python package for predictive modelingmlpy 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.