Welcome to mlpy’s documentation!¶
- Release
3.5
- Date
Nov 21, 2021
- Homepage
Machine Learning PYthon (mlpy) is a high-performance Python library for predictive modeling.
This reference manual details functions, modules, and objects included in mlpy.
- Install
- Introduction
- Tutorial
- Linear Methods for Regression
- Linear Methods for Classification
- Kernels
- Non Linear Methods for Regression
- Non Linear Methods for Classification
- Support Vector Machines (SVMs)
- Large Linear Classification from [LIBLINEAR]
- Cluster Analysis
- Algorithms for Feature Weighting
- Feature Selection
- Dimensionality Reduction
- Cross Validation
- Metrics
- A Set of Statistical Functions
- Canberra Distances and Stability Indicator of Ranked Lists
- Borda Count
- Find Peaks
- Dynamic Time Warping (DTW)
- Longest Common Subsequence (LCS)
mlpy.wavelet
- Wavelet Transform- Short Guide to Centering and Scaling