stacking

Ensemble learner

A Python library implementing Stacked Generalization (Ensemble Learning) for combining multiple machine learning models to improve prediction accuracy.

Stacked Generalization (Ensemble Learning)

GitHub

221 stars
8 watching
75 forks
Language: Python
last commit: almost 7 years ago
Linked from 1 awesome list

ensembleensemble-learningpredictionscikit-learnstackingxgboost

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
reiinakano/xcessiv A tool to automate the creation and optimization of stacked machine learning ensembles. 1,267
zhiningliu1998/imbalanced-ensemble A library that enables quick and efficient ensemble learning on imbalanced datasets through various over-/under-sampling methods and algorithms 336
flennerhag/mlens A Python library for building and training ensemble machine learning models 847
fukatani/stacked_generalization A library providing an implementation of machine learning stacking generalization 117
benedekrozemberczki/shapley An open-source Python library for evaluating and explaining the contribution of individual classifiers in machine learning ensembles. 218
ron1818/phd_code A collection of source code and supporting materials for a PhD study on ensemble learning methods and machine learning algorithms. 45
ecpolley/superlearner An R package implementing an automatic prediction model ensembling method with support for various algorithms and customization options. 271
rgf-team/rgf A collection of implementations and wrappers for a tree ensemble machine learning method 378
ryanbressler/cloudforest A high-performance ensemble learning framework for decision trees in Go. 739
packtpublishing/machine-learning-for-streaming-data-with-python A comprehensive guide to building machine learning models for streaming data in Python 68
ikostrikov/pytorch-meta-optimizer A PyTorch implementation of meta-learning using gradient descent to adapt to new tasks. 312
zfancy/sfat Combating heterogeneity in federated learning by combining adversarial training with client-wise slack during aggregation 28
larsmans/seqlearn A toolkit for building sequence classification models in Python 689
eliavw/mercs-v5 An implementation of a multi-directional ensemble learning method for classification and regression tasks using decision trees 4
zackzikaixiao/fedgrab A tool for training federated learning models with adaptive gradient balancing to handle class imbalance in multi-client scenarios. 13