Heitor Murilo Gomes's repositories
AdaptiveRandomForest
Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
data-stream-visualization
A simple python script to plot results overtime for a data stream marking drifts (both abrupt and gradual).
StreamingRandomPatches
Repository for the StreamingRandomPatches algorithm implemented in MOA 2019.04
AdaptiveRandomForestRegressor
This repository includes the adaptive random forest algorithm adaptation for regression tasks (AKA ARF-Reg). It uses as the base learner the FIMTDD decision tree algorithm. Look up the publication for more details. Initially, ARF-Reg was implemented in a previous version of MOA, but this repository is based on MOA 2018.06.
MOA-API-Demo
Sample java code showing how to use the MOA (Massive Online Analysis) framework
CapyMOA
Enhanced machine learning library tailored for data streams, featuring a Python API integrated with MOA backend support. This unique combination empowers users to leverage a wide array of existing algorithms efficiently while fostering the development of new methodologies in both Python and Java.
FeatureScoringEvolvingDataStreams
Supplementary material for the paper "Feature Scoring using Tree-Based Ensembles for Evolving Data Streams" -- IEEE Big Data 2019
hmgomes.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
incubator-samoa
Mirror of Apache Samoa (Incubating)
machine-learning
Content for Udacity's Machine Learning curriculum