Automatic Time Series Forecasting and Ensembling via Meta-learning
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Updated
Apr 11, 2023 - R
Automatic Time Series Forecasting and Ensembling via Meta-learning
Code used for experiments in the ICPR 2018 paper "Classifier Recommendation Using Data Complexity Measures"
The package is developed for treatment recommendation & pairwise treatment individual effect estimation (ITE/CATE/HTE) when multiple treatment/intervention options exist. The package is still under development.
The supervisor repo for task 2 of the "Analyzing Big Data Laboratory Course" at the Karlsruhe Institute of Technology (KIT), summer term 2019.
Intuitive Package for Heterogeneous Ensemble Meta-Learning (Classification, Regression) that is fully-automated
Resample, parameter tuning, meta-learning, clustering, and mining algorithms for the purpose of data mining and machine learning.
MfeatExtractor is an automated code for meta-feature extraction, useful for meta-learning projects.
Meta-learning system for recommending algorithms for analyzing gene expression data
Meta-learning basic suite for machine learning experiments.
Meta-Feature Extractor
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