Skip to content

Python implememtation of Hoeffding Option Tree for Online Machine Learning.

Notifications You must be signed in to change notification settings

francescogrillea/HoeffdingOptionTree

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

36 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Hoeffding Option Tree

Python implementation of Hoeffding Option Tree for Online Learning.

  • River integration.

Requirements Installation

git clone https://github.com/francescogrillea/HoeffdingOptionTree.git
cd HoeffdingOptionTree

pip install -r requirements.txt

Usage in Python

from hoeffding_option_tree import HoeffdingOptionTreeClassifier
from river.evaluate import progressive_val_score
from river.metrics import Accuracy

dataset = ...  # add dataset
metric = ... # specify metric
model = HoeffdingOptionTreeClassifier(tau=1.5, grace_period=3)

progressive_val_score(dataset=dataset,
                      model=model,
                      metric=metric)

About

Python implememtation of Hoeffding Option Tree for Online Machine Learning.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors