HyperGBM
0.3.0
Overview
Installation Guide
Quick Start
Examples
Basic Usages
Advanced Usages
Handling Imbalanced Data
Defining SearchSpace
GPU acceleration
Distributed training
Multi-objectives optimization
How-To
Released Notes
HyperGBM
Examples
Edit on GitHub
Examples
Basic Usages
Create and Run an Experiment
Set the Number of Search Trials
Use Cross Validation
Evaluation dataset
Set the Evaluation Criterion
Set the Early Stopping
Choose a Searcher
Enable TrialStore
Ensemble Models
Set Parallelism
Set Log Levels
Experiment Visualization
Advanced Usages
Data Adaption
Data cleaning
Feature generation
Collinearity detection
Drift detection
Feature selection
UnderSampling pre-search
The second stage feature selection
Pseudo label
Handling Imbalanced Data
Adopt ClassWeight
UnderSampling and OverSampling
Defining SearchSpace
Define Search Space
Support Machine Learning Models
GPU acceleration
Accelerate the experiment
Customize Search Space
Distributed training
Quick Experiment
Define Search Space
Multi-objectives optimization
NSGA-II
R-NSGA-II
MOEA/D
Builtin objectives
Read the Docs
v: 0.3.0
Versions
latest
stable
0.3.0
0.2.5.7
0.2.5.6
0.2.5.5
0.2.5.4
0.2.5.3
0.2.5.2
0.2.5.1
0.2.3.2
0.2.3.1
0.2.3
0.2.2
0.2.1
Downloads
On Read the Docs
Project Home
Builds