hyperbox-brain
latest
User Guides
Installation
Features
Available models
Quickstart
Contributing
About hyperbox-brain
Hyperbox-brain API
utilitity functions
base
mixed-data learners
batch learners
ensemble learners
incremental learners
multigranular learners
Tutorials
Tutorials
Batch learners
Incremental learners
Multigranular learners
Ensemble learners
Mixed data learners
Integration with sklearn pipeline
Integration with sklearn hyperparameter optimisation
Integration of Single Hyperbox-based Estimators with Grid-Search and Random-Search in sklearn
Integration of Algorithms for Mixed-Attribute Data with Hyper-parameter Optimisation in Sklearn
Integration of Ensemble Models with Hyper-parameter Optimisation in Sklearn
Other learning abilities of GFMM models
Store and load the trained models
hyperbox-brain
»
Tutorials
»
Integration with sklearn hyperparameter optimisation
Edit on GitHub
Integration with sklearn hyperparameter optimisation
Integration of Single Hyperbox-based Estimators with Grid-Search and Random-Search in sklearn
Integration of Algorithms for Mixed-Attribute Data with Hyper-parameter Optimisation in Sklearn
Integration of Ensemble Models with Hyper-parameter Optimisation in Sklearn
Read the Docs
v: latest
Versions
latest
stable
Downloads
pdf
html
On Read the Docs
Project Home
Builds