SVR for multidimensional labels
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机器学习教程,本教程包含基于numpy、sklearn与tensorflow机器学习,也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Extends scikit-learn with new models, transformers, metrics, plotting.
scikit-learn cross validators for iterative stratification of multilabel data
Spatial cross-validation in Python.
A constantly updated python machine learning cheatsheet
Maximum A Posteriori Classifier
Data science tools for exploration, visualization, and model iteration.
A scikit-learn based module for multi-label et. al. classification
Utilities for scikit-learn. Append prediction to x, append prediction to x single, append x predi...
Python library for multichannel ML and semi-auto-ML.
An sklearn style implementation of the Relevance Vector Machine (RVM).
Python package for the GenSVM classifier
A new maintained "successor" to scikit-multilearn, a scikit-learn based module for multi-label et...
Python-Wrapper for Francesco Parrella's OnlineSVR C++ implementation with scikit-learn-compatible...